Triple

T14651527
Position Surface form Disambiguated ID Type / Status
Subject Crave E343997 entity
Predicate formerName P65 FINISHED
Object CraveTV E242272 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: CraveTV | Statement: [Crave, formerName, CraveTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CraveTV
Context triple: [Crave, formerName, CraveTV]
  • A. Crave (streaming service) chosen
    Crave is a Canadian subscription streaming service offering a wide range of television series, films, and original programming, including content from major networks like HBO and Showtime.
  • B. Haut et Court TV
    Haut et Court TV is a French television production company known for producing high-quality, auteur-driven series, including international co-productions.
  • C. CTV
    CTV, short for Corpo Truppe Volontarie, was the Italian volunteer expeditionary force sent by Mussolini to support Francisco Franco’s Nationalists during the Spanish Civil War.
  • D. CTV
    CTV is the ICAO airline designator assigned to Citilink, an Indonesian low-cost carrier and subsidiary of Garuda Indonesia.
  • E. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb517e7648190b9fc73d6cdbb68de completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d9ab188190934deb57fd6d9a56 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.