Triple

T15311924
Position Surface form Disambiguated ID Type / Status
Subject Magic Mike E366057 entity
Predicate productionCompany P490 FINISHED
Object Extension 765 E735057 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: Extension 765 | Statement: [Magic Mike, productionCompany, Extension 765]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extension 765
Context triple: [Magic Mike, productionCompany, Extension 765]
  • A. Extension 765 chosen
    Extension 765 is a film production company founded by director Steven Soderbergh, known for backing innovative and often independently minded projects.
  • B. Extensions
    Extensions is a 1979 jazz vocal album by The Manhattan Transfer that is best known for its innovative arrangements and the hit single "Birdland."
  • C. Extender
    Extender is the NATO reporting name for the KC-10, a U.S. aerial refueling and transport aircraft derived from the DC-10 airliner.
  • D. Dimensions & Extensions
    Dimensions & Extensions is a 1967 avant-garde jazz album by American saxophonist and composer Sam Rivers, noted for its adventurous compositions and innovative ensemble arrangements.
  • E. Eext
    Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.