Triple

T15174926
Position Surface form Disambiguated ID Type / Status
Subject Bill Nunn E362581 entity
Predicate notableWork P4 FINISHED
Object The Job E342947 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: [Bill Nunn, notableWork, The Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Job
Context triple: [Bill Nunn, notableWork, The Job]
  • A. 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.
  • B. The Job chosen
    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. The Big Job
    The Big Job is a 1965 British comedy film about a gang of inept criminals who return years later to retrieve loot they buried before being sent to prison.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88e7ff481909e3d2b280689aeba completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.