Triple
T7736448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPY Award for Best WNBA Player |
E175392
|
entity |
| Predicate | firstAwardedTo |
P36688
|
FINISHED |
| Object | Cynthia Cooper |
E614599
|
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: Cynthia Cooper | Statement: [ESPY Award for Best WNBA Player, firstAwardedTo, Cynthia Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Cooper Context triple: [ESPY Award for Best WNBA Player, firstAwardedTo, Cynthia Cooper]
-
A.
Cynthia Cooper
chosen
Cynthia Cooper is a Hall of Fame American basketball player best known as a star guard and multiple-time WNBA champion and Finals MVP with the Houston Comets.
-
B.
Cynthia Cooper
Cynthia Cooper is an American accountant and whistleblower best known for exposing the WorldCom accounting fraud scandal.
-
C.
Teresa Weatherspoon
Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
-
D.
Antoinette Pettyjohn
Antoinette Pettyjohn is best known as the wife of the late American actor Yaphet Kotto.
-
E.
Tawny Newsome
Tawny Newsome is an American actress, comedian, and musician best known for her comedic roles and voice work, including starring in the animated series Star Trek: Lower Decks.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035923108190842025631e2314cc |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be355e04819088598b5c7d61b848 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:06 p.m.