Triple

T15026220
Position Surface form Disambiguated ID Type / Status
Subject Job Cohen E378221 entity
Predicate givenName P17 FINISHED
Object Job E782403 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 Cohen, givenName, Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Job
Context triple: [Job Cohen, givenName, 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 biblical figure renowned for his unwavering faith and patience amid extreme suffering, as depicted in the Book of Job in the Hebrew Bible and Christian Old Testament.
  • C. Job
    "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.
  • D. Hiob
    Hiob is the surname of Hanne Hiob, a German actress and daughter of the playwright Bertolt Brecht.
  • E. The Job
    The Job is a film featuring actor John Ortiz in a significant role.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.