Triple

T22803373
Position Surface form Disambiguated ID Type / Status
Subject The Capture E564462 entity
Predicate castMember P1668 FINISHED
Object Andy Nyman NE NERFINISHED

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: Andy Nyman | Statement: [The Capture, castMember, Andy Nyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Nyman
Context triple: [The Capture, castMember, Andy Nyman]
  • A. Andy Nyman chosen
    Andy Nyman is a British actor, writer, and director known for his work in film, television, and stage, as well as for co-creating the horror stage show and film "Ghost Stories."
  • B. Steve Harnett
    Steve Harnett is a member of the band Helmet, contributing to the influential American alternative metal group known for its heavy, precise sound.
  • C. Andy Lees
    Andy Lees is a British technology executive best known for his senior leadership roles at Microsoft, including overseeing the Windows Phone division.
  • D. Neil Richardson
    Neil Richardson was a British conductor and arranger best known for his work in light music and broadcasting, particularly with BBC radio ensembles.
  • E. Michael Jessop
    Michael Jessop is a member of the Derby Philosophical Society, a learned society dedicated to scientific and intellectual inquiry in Derby, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5a7c2881909a7aaacddd09f00c completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:31 p.m.