Triple
T5160650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast X |
E116426
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Dan Mazeau |
E502353
|
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: Dan Mazeau | Statement: [Fast X, storyBy, Dan Mazeau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Mazeau Context triple: [Fast X, storyBy, Dan Mazeau]
-
A.
Dan Mazeau
chosen
Dan Mazeau is an American screenwriter known for working on major Hollywood action and fantasy films, including entries in the Fast & Furious franchise.
-
B.
Dan Mazer
Dan Mazer is a British screenwriter, director, and producer best known for his long-time collaboration with Sacha Baron Cohen on projects like Borat and Brüno.
-
C.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
D.
Eric Lamonsoff
Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
-
E.
Andrew Laeddis
Andrew Laeddis is the true identity of U.S. Marshal Teddy Daniels, revealed as a delusional patient in the psychological thriller "Shutter Island."
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefa840288190ad0e1ab7af8b9c4c |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:44 p.m.