Triple
T13758704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IND |
E330542
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Weir Cook |
E332477
|
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: Weir Cook | Statement: [IND, namedAfter, Weir Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weir Cook Context triple: [IND, namedAfter, Weir Cook]
-
A.
Weir Cook
chosen
Weir Cook was a pioneering American aviator and World War I flying ace from Indiana, honored for his contributions to aviation and military service.
-
B.
T. S. Cook
T. S. Cook was an American screenwriter best known for co-writing the acclaimed 1979 nuclear thriller film "The China Syndrome."
-
C.
Walter Wheeler Cook
Walter Wheeler Cook was an influential American legal scholar and educator known as a leading figure in the legal realism movement.
-
D.
Williston Jones
Williston Jones was an American educator and religious leader best known as the founder of Coe College in Cedar Rapids, Iowa.
-
E.
Sprague Cleghorn
Sprague Cleghorn was a rugged early-20th-century Canadian ice hockey defenseman renowned for his physical play and success in the National Hockey League.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0223ab9081909db05334860405e0 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d0757c8190b470bca2af9b3c96 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:09 p.m.