Triple

T14874438
Position Surface form Disambiguated ID Type / Status
Subject Bounce TV E349828 entity
Predicate hasOriginalProgramming P21681 FINISHED
Object In The Cut E322763 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: In The Cut | Statement: [Bounce TV, hasOriginalProgramming, In The Cut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In The Cut
Context triple: [Bounce TV, hasOriginalProgramming, In The Cut]
  • A. In the Cut chosen
    In the Cut is a 2003 neo-noir erotic thriller film directed by Jane Campion, known for its gritty exploration of female sexuality and urban violence in contemporary New York City.
  • B. The Cut
    The Cut is a street in the Waterloo area of London known for its theatres, restaurants, and proximity to major transport links.
  • C. The Cut
    The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
  • D. The Cut
    The Cut is a 2014 historical drama film directed by Fatih Akin that follows an Armenian man's search for his daughters in the aftermath of the Armenian genocide.
  • E. The Cutting
    The Cutting is a tight, steeply uphill left-hand corner on Australia’s Mount Panorama Circuit, known for its narrow confines and challenging elevation change.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b52c12481908d0173a2a3ed854b completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.