Triple

T12441883
Position Surface form Disambiguated ID Type / Status
Subject Job (painting) E297293 entity
Predicate title P38 FINISHED
Object Job E297293 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 (painting), title, Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Job
Context triple: [Job (painting), title, Job]
  • A. Job chosen
    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
    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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8ecb6c8190a19cbf9de31cabbd completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0ea1e48190a11cf94797290156 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.