Triple

T21686852
Position Surface form Disambiguated ID Type / Status
Subject Just Friends E535251 entity
Predicate producer P490 FINISHED
Object Chris Bender 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: Chris Bender | Statement: [Just Friends, producer, Chris Bender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Bender
Context triple: [Just Friends, 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. Russ Bender
    Russ Bender was an American character actor known for his roles in low-budget science fiction and horror films of the 1950s and 1960s.
  • C. 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.
  • D. 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.
  • E. 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."
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.