Triple

T20819664
Position Surface form Disambiguated ID Type / Status
Subject Bold Films E512538 entity
Predicate collaboratedWith P435 FINISHED
Object J.K. Simmons 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: J.K. Simmons | Statement: [Bold Films, collaboratedWith, J.K. Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J.K. Simmons
Context triple: [Bold Films, collaboratedWith, J.K. Simmons]
  • A. J.K. Simmons chosen
    J.K. Simmons is an American character actor known for his versatile performances in film and television, including roles in "Whiplash," the "Spider-Man" trilogy, and numerous acclaimed supporting parts.
  • B. Eric Adkins
    Eric Adkins is a cinematographer best known for his work on the visually distinctive film "Sky Captain and the World of Tomorrow."
  • C. Burn Gorman
    Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
  • D. Paul Ganz
    Paul Ganz was a Swiss art historian and curator known for his influential scholarship on artists such as Hans Holbein the Younger.
  • E. Michael Cerveris
    Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f6a65481909a0df78616e185e4 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.