Triple

T8900760
Position Surface form Disambiguated ID Type / Status
Subject Job: A Masque for Dancing E211922 entity
Predicate involvesCharacter P15562 FINISHED
Object Job E560415 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: Job | Statement: [Job: A Masque for Dancing, involvesCharacter, Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Job
Context triple: [Job: A Masque for Dancing, involvesCharacter, Job]
  • A. Job
    Job is a religious-themed painting by French artist Léon Bonnat depicting the biblical figure Job in a moment of intense suffering and spiritual trial.
  • B. Job chosen
    "Job" is a choral-orchestral work by British composer Peter Maxwell Davies, reflecting his distinctive modernist style and often drawing on religious and dramatic themes.
  • C. Hiob
    Hiob is the surname of Hanne Hiob, a German actress and daughter of the playwright Bertolt Brecht.
  • D. The Job
    The Job is a film featuring actor John Ortiz in a significant role.
  • E. The Job
    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.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6428ffc48190814f6b865961dbd1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac1846f481909aad27a6dacddba2 completed April 3, 2026, 12:01 p.m.
Created at: March 30, 2026, 6:54 p.m.