Triple
T355455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Cousy |
E7532
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cousy |
E7532
|
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: Cousy | Statement: [Bob Cousy, familyName, Cousy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cousy Context triple: [Bob Cousy, familyName, Cousy]
-
A.
Walt Bellamy
Walt Bellamy was an American Hall of Fame center and Olympic gold medalist who became one of the NBA’s dominant scorers and rebounders during the 1960s.
-
B.
Bob Cousy
chosen
Bob Cousy is a Hall of Fame point guard renowned for revolutionizing ball-handling and playmaking in the NBA during the 1950s and 1960s.
-
C.
Eddie Collins
Eddie Collins was a Hall of Fame second baseman and one of early 20th-century baseball’s greatest players, renowned for his hitting, speed, and leadership on multiple World Series–winning teams.
-
D.
Tom Heinsohn
Tom Heinsohn was a Hall of Fame player and coach for the Boston Celtics who later became a longtime, beloved television commentator for the team.
-
E.
Bill Cobbs
Bill Cobbs is an American character actor known for his prolific supporting roles in film and television, including appearances in movies like "Night at the Museum," "Demolition Man," and "The Hudsucker Proxy."
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebad8bf08190b4a38ffd9157d641 |
completed | Feb. 28, 2026, 1:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e86175588190a893cb2266f06170 |
completed | March 1, 2026, 7:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.