Triple
T22090874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great White Hype |
E545908
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Judd Apatow |
—
|
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: Judd Apatow | Statement: [The Great White Hype, producer, Judd Apatow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judd Apatow Context triple: [The Great White Hype, producer, Judd Apatow]
-
A.
Judd Apatow
chosen
Judd Apatow is an American filmmaker, producer, and writer known for his influential work in modern comedy films and television series such as "The 40-Year-Old Virgin," "Knocked Up," and "Freaks and Geeks."
-
B.
Maude Apatow
Maude Apatow is an American actress known for her roles in film and television, including her breakout performance as Lexi Howard in the HBO series "Euphoria."
-
C.
Mark Waters
Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
-
D.
Mark Waters
Mark Waters is an American musician best known as a member of the punk rock band F.Y.P.
-
E.
Mike Sikowitz
Mike Sikowitz is a television writer and producer best known for his work on sitcoms such as "Dr. Ken" and contributions to other popular comedy series.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.