Triple
T10915469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaime Carbonell |
E257809
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Language Technologies Institute at Carnegie Mellon University |
E9578
|
NE FINISHED |
How this triple was built (2 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: Language Technologies Institute at Carnegie Mellon University | Statement: [Jaime Carbonell, founded, Language Technologies Institute at Carnegie Mellon University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Language Technologies Institute at Carnegie Mellon University Context triple: [Jaime Carbonell, founded, Language Technologies Institute at Carnegie Mellon University]
-
A.
Language Technologies Institute, Carnegie Mellon University
chosen
The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
-
B.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
-
C.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
-
D.
Centre for Linguistic Science and Technology
The Centre for Linguistic Science and Technology is a research hub at IIT Guwahati focused on language science, computational linguistics, and language technology development.
-
E.
Language Technology Unit
The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216eb77dc81908c380f5fcd507275 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.