Triple

T16047675
Position Surface form Disambiguated ID Type / Status
Subject Gerry Fisher E389264 entity
Predicate notableWork P4 FINISHED
Object The Offence E478155 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 Offence | Statement: [Gerry Fisher, notableWork, The Offence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Offence
Context triple: [Gerry Fisher, notableWork, The Offence]
  • A. The Offence chosen
    The Offence is a 1973 British psychological crime drama film directed by Sidney Lumet and starring Sean Connery as a troubled detective confronting his own violent nature.
  • B. Against the Law
    Against the Law is a legal thriller novel by American author Nancy Allen, featuring a tenacious female attorney confronting corruption and injustice in the Ozarks.
  • C. The Defrauders
    The Defrauders is the English rendering of the title of Surah Al-Mutaffifin, a chapter of the Qur’an that condemns fraudulent dealings and moral corruption.
  • D. The Criminals
    The Criminals is a punk rock band known for featuring guitarist Jason White, who later gained prominence with Green Day.
  • E. The Young and the Guilty
    The Young and the Guilty is a 1958 British drama film about teenage romance and generational conflict, featuring actress Janet Munro in one of the early roles that helped establish her career.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835eda348190aff492f0ff668cce completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.