Triple

T20407551
Position Surface form Disambiguated ID Type / Status
Subject Junior Bonner E500510 entity
Predicate producer P490 FINISHED
Object Joe Wizan NE NERFINISHED

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: Joe Wizan | Statement: [Junior Bonner, producer, Joe Wizan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Wizan
Context triple: [Junior Bonner, producer, Joe Wizan]
  • A. Joe Wizan chosen
    Joe Wizan was an American film producer and studio executive known for his work on numerous Hollywood features from the 1970s through the 1990s.
  • B. Jon Witz
    Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
  • C. Joe Wissert
    Joe Wissert is an American record producer known for his work on major pop and rock albums in the 1970s, including projects with artists like John Denver and Earth, Wind & Fire.
  • D. Joe Wredden
    Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
  • E. Tom Witzky
    Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67993dc7081908ebd54ec92e712ea completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.