Triple
T15174923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Nunn |
E362581
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | He Got Game |
E154884
|
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: He Got Game | Statement: [Bill Nunn, notableWork, He Got Game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Got Game Context triple: [Bill Nunn, notableWork, He Got Game]
-
A.
He Got Game
chosen
He Got Game is a 1998 sports drama film written and directed by Spike Lee that explores the complex relationship between a high school basketball star and his incarcerated father amid the pressures of fame, family, and the college recruitment system.
-
B.
For Love of the Game
For Love of the Game is a 1999 sports drama film starring Kevin Costner as an aging baseball pitcher reflecting on his life and career during what may be his final game.
-
C.
Talk a Good Game
Talk a Good Game is the third studio album by American singer Kelly Rowland, showcasing her R&B sound with themes of love, empowerment, and personal growth.
-
D.
Hoops
Hoops is a television series associated with producer and manager Michael Rotenberg.
-
E.
Hoops
Hoops is a basketball-inspired game mode in Rocket League where players score by shooting the ball into elevated hoops instead of traditional soccer goals.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88e7ff481909e3d2b280689aeba |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.