Triple

T20997669
Position Surface form Disambiguated ID Type / Status
Subject Peter Strickland E517191 entity
Predicate notableWork P4 FINISHED
Object In Fabric 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: In Fabric | Statement: [Peter Strickland, notableWork, In Fabric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In Fabric
Context triple: [Peter Strickland, notableWork, In Fabric]
  • A. In Fabric chosen
    In Fabric is a 2018 British horror-comedy film directed by Peter Strickland that follows the sinister misadventures of a cursed red dress.
  • B. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • C. FAB
    FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
  • D. FAB
    FAB is the acronym commonly used to refer to the Bolivian Air Force, the aerial warfare branch of Bolivia’s armed forces.
  • E. Details in the Fabric
    "Details in the Fabric" is a reflective, melodic song by Jason Mraz known for its introspective lyrics and calming, acoustic-driven sound.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.