Triple

T8803462
Position Surface form Disambiguated ID Type / Status
Subject Peter Tolan E209465 entity
Predicate coCreatorOf P806 FINISHED
Object The Job E585625 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: The Job | Statement: [Peter Tolan, coCreatorOf, The Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Job
Context triple: [Peter Tolan, coCreatorOf, The Job]
  • A. The Job chosen
    The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
  • B. The Job
    The Job is a film featuring actor John Ortiz in a significant role.
  • C. A Job to Live
    A Job to Live is a work by British politician and author Shirley Williams that reflects her engagement with social and political issues.
  • D. Inside Job
    Inside Job is a 2000 studio album by American singer-songwriter Don Henley, marking his first solo release in over a decade and featuring reflective, socially conscious rock songs.
  • E. Inside Job
    Inside Job is a Hugo Award–winning science fiction novella by Connie Willis that satirically explores skepticism, pseudoscience, and the paranormal.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf8921a13081909346b97c024110b6 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:44 p.m.