Triple
T14455126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Wedding |
E358439
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chris Bender |
E257852
|
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: Chris Bender | Statement: [American Wedding, producer, Chris Bender]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Bender Context triple: [American Wedding, producer, Chris Bender]
-
A.
Chris Bender
chosen
Chris Bender is a film producer known for his work on major Hollywood movies, including the thriller "Red Eye."
-
B.
Jack Bender
Jack Bender is an American television director, producer, and former actor best known for his work on acclaimed series such as Lost, Game of Thrones, and Mr. Mercedes.
-
C.
Ben Burns
Ben Burns is the troubled teenage son at the center of the drama film "Ben Is Back," whose unexpected return home on Christmas Eve forces his family to confront his struggle with addiction and its consequences.
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Chris Bennett
Chris Bennett is a central character in Tyler Perry's drama film "The Family That Preys," involved in the story's intertwined family and moral conflicts.
- 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.