Triple
T14455128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Wedding |
E358439
|
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 Wedding, producer, Craig Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Perry Context triple: [American Wedding, 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.
Mitch Perry
Mitch Perry is an American rock guitarist known for his work with several hard rock and metal bands, including a stint with the glam metal group Ratt.
-
D.
Anthony Perry
Anthony Perry was a military leader known for commanding forces during the Battle of Vinegar Hill in the Irish Rebellion of 1798.
-
E.
Anthony Perry
Anthony Perry is a film producer best known for his work on the World War II drama "Operation Daybreak."
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.