Triple

T13159629
Position Surface form Disambiguated ID Type / Status
Subject Jobs (2013 film score) E312689 entity
Predicate basedOn P98 FINISHED
Object Jobs (2013 film) E236199 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: Jobs (2013 film) | Statement: [Jobs (2013 film score), basedOn, Jobs (2013 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jobs (2013 film)
Context triple: [Jobs (2013 film score), basedOn, Jobs (2013 film)]
  • A. Jobs (2013 film) chosen
    Jobs (2013 film) is a biographical drama depicting the life and career of Apple co-founder Steve Jobs, with Josh Gad co-starring as Steve Wozniak.
  • B. The Job
    The Job is a film featuring actor John Ortiz in a significant role.
  • C. 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.
  • 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 an adult animated comedy series that satirically explores conspiracy theories and shadow government operations through the misadventures of employees at a secretive organization.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0971008190869e9de710f4c579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf2ae688190b3484989791977ce completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.