Triple
T49
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vannevar Bush |
E0
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Public Welfare Medal
The Public Welfare Medal is the highest honor bestowed by the U.S. National Academy of Sciences for distinguished contributions in the application of science to the public good.
|
E8
|
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: Public Welfare Medal | Statement: [Vannevar Bush, awardReceived, Public Welfare Medal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Public Welfare Medal Context triple: [Vannevar Bush, awardReceived, Public Welfare Medal]
-
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: Public Welfare Medal Triple: [Vannevar Bush, awardReceived, Public Welfare Medal]
Generated description
The Public Welfare Medal is the highest honor bestowed by the U.S. National Academy of Sciences for distinguished contributions in the application of science to the public good.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Public Welfare Medal Target entity description: The Public Welfare Medal is the highest honor bestowed by the U.S. National Academy of Sciences for distinguished contributions in the application of science to the public good.
-
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.