Triple
T3372167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Meneveau |
E70978
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Department of Mechanical Engineering, Johns Hopkins University
The Department of Mechanical Engineering at Johns Hopkins University is a leading academic and research unit specializing in areas such as fluid mechanics, robotics, and materials science within the university’s Whiting School of Engineering.
|
E354128
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Mechanical Engineering, Johns Hopkins University | Statement: [Charles Meneveau, affiliation, Department of Mechanical Engineering, Johns Hopkins University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Johns Hopkins University Context triple: [Charles Meneveau, affiliation, Department of Mechanical Engineering, Johns Hopkins University]
-
A.
Department of Mechanical Engineering (Carnegie Mellon University)
The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
-
B.
Department of Mechanical Engineering (University of Michigan)
The Department of Mechanical Engineering at the University of Michigan is a leading academic and research department known for its work in areas such as automotive engineering, robotics, energy systems, and advanced manufacturing.
-
C.
Department of Mechanical Engineering, UC Berkeley
The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
-
D.
Department of Mechanical Engineering
The Department of Mechanical Engineering at the Indian Institute of Technology Madras is a leading academic and research department in India, known for its strong programs in mechanical design, manufacturing, thermal sciences, and related engineering fields.
-
E.
Department of Mechanical Engineering
The Department of Mechanical Engineering at McGill University is an academic unit that offers education and conducts research in areas such as mechanics, materials, thermofluids, and design within the Faculty of Engineering.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Mechanical Engineering, Johns Hopkins University Triple: [Charles Meneveau, affiliation, Department of Mechanical Engineering, Johns Hopkins University]
Generated description
The Department of Mechanical Engineering at Johns Hopkins University is a leading academic and research unit specializing in areas such as fluid mechanics, robotics, and materials science within the university’s Whiting School of Engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Johns Hopkins University Target entity description: The Department of Mechanical Engineering at Johns Hopkins University is a leading academic and research unit specializing in areas such as fluid mechanics, robotics, and materials science within the university’s Whiting School of Engineering.
-
A.
Department of Mechanical Engineering (Carnegie Mellon University)
The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
-
B.
Department of Mechanical Engineering (University of Michigan)
The Department of Mechanical Engineering at the University of Michigan is a leading academic and research department known for its work in areas such as automotive engineering, robotics, energy systems, and advanced manufacturing.
-
C.
Department of Mechanical Engineering, UC Berkeley
The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
-
D.
Department of Mechanical Engineering
The Department of Mechanical Engineering at the Indian Institute of Technology Madras is a leading academic and research department in India, known for its strong programs in mechanical design, manufacturing, thermal sciences, and related engineering fields.
-
E.
Department of Mechanical Engineering
The Department of Mechanical Engineering at McGill University is an academic unit that offers education and conducts research in areas such as mechanics, materials, thermofluids, and design within the Faculty of Engineering.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bc9bc881908b22edd631a1c110 |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343fd8a08190bf426884ec42948c |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334e5171c8190a01bb6fef5644825 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3390c50b08190b6239b5f0d1eb4ba |
completed | March 12, 2026, 10:07 p.m. |
Created at: March 8, 2026, 3:13 p.m.