Triple
T1547125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven K. Feiner |
E33002
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | John F. Hughes |
E48553
|
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: John F. Hughes | Statement: [Steven K. Feiner, coAuthor, John F. Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John F. Hughes Context triple: [Steven K. Feiner, coAuthor, John F. Hughes]
-
A.
John F. Hughes
chosen
John F. Hughes is a computer scientist known for his contributions to computer graphics and as a co-author of the influential textbook "Computer Graphics: Principles and Practice."
-
B.
Roger D. Branigin
Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
-
C.
Reg Rogers
Reg Rogers is an American character actor known for his work in film, television, and theater, often portraying eccentric or villainous roles.
-
D.
Russell Carpenter
Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
-
E.
John McShain
John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb20dd5a88190b3d6e6f0004fe9b4 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad468f9a8c8190817910c2955b4338 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.