Triple
T22107663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Cousy Award |
E546328
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Bob Cousy |
—
|
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: Bob Cousy | Statement: [Bob Cousy Award, namedAfter, Bob Cousy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Cousy Context triple: [Bob Cousy Award, namedAfter, Bob Cousy]
-
A.
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.
-
B.
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.
-
C.
John Havlicek
John Havlicek was a Hall of Fame NBA swingman renowned for his all-around play, clutch performances, and eight championships with the Boston Celtics.
-
D.
Bill Owens
Bill Owens is an American photographer and photojournalist best known for his influential 1972 book "Suburbia," which documented the lives and culture of suburban middle-class Americans.
-
E.
Bill Owens
Bill Owens is an American television producer best known for leading the long-running CBS news magazine program "60 Minutes."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291adc74819092c7753bb6f3768d |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.