Triple
T22
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vannevar Bush |
E0
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Massachusetts Institute of Technology
The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
|
E3
|
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: Massachusetts Institute of Technology | Statement: [Vannevar Bush, educatedAt, Massachusetts Institute of Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massachusetts Institute of Technology Context triple: [Vannevar Bush, educatedAt, Massachusetts Institute of Technology]
-
A.
Vannevar Bush
American electrical engineer and science administrator (1890~1974)
- 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: Massachusetts Institute of Technology Triple: [Vannevar Bush, educatedAt, Massachusetts Institute of Technology]
Generated description
The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Massachusetts Institute of Technology Target entity description: The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
-
A.
Vannevar Bush
American electrical engineer and science administrator (1890~1974)
- 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_69a1c42f421881909e892cd3c0b8a381 |
completed | Feb. 27, 2026, 4:19 p.m. |
| NER | Named-entity recognition | batch_69a1d909015c8190bae80d251682e0b9 |
completed | Feb. 27, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2195fbf508190bd319ba988035ead |
completed | Feb. 27, 2026, 10:23 p.m. |
| NEDg | Description generation | batch_69a21cebbaf48190a54d7e5fc82108e8 |
completed | Feb. 27, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a21d3e67c881908a1b0bd27b590838 |
completed | Feb. 27, 2026, 10:39 p.m. |
Created at: Feb. 27, 2026, 4:42 p.m.