Triple
T6156938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Pie 2 |
E137344
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Craig Perry |
E556133
|
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: Craig Perry | Statement: [American Pie 2, producer, Craig Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Perry Context triple: [American Pie 2, producer, Craig Perry]
-
A.
Craig Perry
chosen
Craig Perry is a film producer best known for his work on the hit teen comedy franchise "American Pie."
-
B.
Philip Perry
Philip Perry is an American attorney and former Department of Homeland Security general counsel, known for his work in government and as the husband of politician Liz Cheney.
-
C.
Anthony Perry
Anthony Perry is a film producer best known for his work on the World War II drama "Operation Daybreak."
-
D.
Peter Perry
Peter Perry was a prominent 19th-century Canadian reform politician who emerged as a leading figure of the Clear Grits movement in Upper Canada.
-
E.
Michael R. Perry
Michael R. Perry is an American screenwriter and producer known for his work in film and television, including contributions to genre projects such as the dark comedy horror film "The Voices."
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3177588190970a45af0d43b04c |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16edb92048190ba47571e28db3cb6 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.