Triple

T19610864
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man: Turn Off the Dark E470725 entity
Predicate producer P490 FINISHED
Object Michael Cohl 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: Michael Cohl | Statement: [Spider-Man: Turn Off the Dark, producer, Michael Cohl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cohl
Context triple: [Spider-Man: Turn Off the Dark, producer, Michael Cohl]
  • A. Michael Cohl chosen
    Michael Cohl is a renowned Canadian concert promoter and producer best known for organizing large-scale international tours for major rock acts like The Rolling Stones.
  • B. Mitch Rouse
    Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
  • C. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Jason Crouse
    Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
  • E. Eric Danchick
    Eric Danchick is a film producer known for his work on the movie "Bound 2."
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cb180c8190ba96ffb69c24e2e1 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.