Triple
T14455132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Wedding |
E358439
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Zide-Perry Productions |
E556137
|
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: Zide-Perry Productions | Statement: [American Wedding, productionCompany, Zide-Perry Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zide-Perry Productions Context triple: [American Wedding, productionCompany, Zide-Perry Productions]
-
A.
Zide-Perry Productions
chosen
Zide-Perry Productions is a film and television production company best known for producing the hit teen comedy franchise "American Pie."
-
B.
Perdido Productions
Perdido Productions is a film production company best known for producing Woody Allen’s 2013 drama "Blue Jasmine."
-
C.
Peregrine Productions
Peregrine Productions is a film production company best known for its involvement in creating Stanley Kubrick’s 1980 horror classic "The Shining."
-
D.
Persky-Bright Productions
Persky-Bright Productions is a television and film production company known for producing the series "The Last Tycoon."
-
E.
Siesta Productions
Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
- 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.