Triple
T6954767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boogie Nights |
E161214
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lloyd Levin |
E154132
|
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: Lloyd Levin | Statement: [Boogie Nights, producer, Lloyd Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Levin Context triple: [Boogie Nights, producer, Lloyd Levin]
-
A.
Lloyd Levin
chosen
Lloyd Levin is an American film producer known for his work on major genre films such as "Hellboy II: The Golden Army," "Watchmen," and "United 93."
-
B.
Murray Schisgal
Murray Schisgal was an American playwright and screenwriter known for his offbeat comedies and for co-writing the acclaimed film "Tootsie."
-
C.
Morris Stoloff
Morris Stoloff was an American musical director, conductor, and composer best known for his work on numerous Hollywood film scores during the mid-20th century.
-
D.
Dennis Troper
Dennis Troper is a Google executive best known as the husband of former YouTube CEO Susan Wojcicki.
-
E.
Richard Maibaum
Richard Maibaum was an American screenwriter and producer best known for his long-running work on the James Bond film series.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75883f6888190a75515be49e7879e |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.