Triple
T20144461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Dwight Woolsey |
E491265
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Woolsey |
—
|
NE NERFINISHED |
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: Woolsey | Statement: [Theodore Dwight Woolsey, familyName, Woolsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woolsey Context triple: [Theodore Dwight Woolsey, familyName, Woolsey]
-
A.
Woolsey
chosen
Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
-
B.
Ikaika Woolsey
Ikaika Woolsey is an American football quarterback best known for playing college football at the University of Hawaiʻi.
-
C.
Wheeler and Woolsey
Wheeler and Woolsey were a popular American comedy duo of the early 20th century, known for their slapstick humor and starring roles in numerous pre-Code Hollywood films.
-
D.
Talbott
Talbott is an unincorporated community in Hamblen County, Tennessee, known primarily as a residential area near the city of Morristown.
-
E.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679d89688190ae88d81002d16d6e |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.