Triple

T22676026
Position Surface form Disambiguated ID Type / Status
Subject Nathan Dales E560346 entity
Predicate employer P7 FINISHED
Object Crave (TV network) 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: Crave (TV network) | Statement: [Nathan Dales, employer, Crave (TV network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crave (TV network)
Context triple: [Nathan Dales, employer, Crave (TV network)]
  • A. Crave (streaming service)
    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. Crave chosen
    Crave is a Canadian premium television and streaming service known for offering a wide range of movies, original series, and popular TV content.
  • C. Crave Films
    Crave Films is a film production company known for producing the action thriller movie "Sabotage."
  • D. Santa Fe Channel
    Santa Fe Channel is a waterfront industrial and maritime waterway located along the shoreline of Point Richmond in Richmond, California.
  • E. Epix
    Epix was a premium American cable and streaming television network known for airing recent Hollywood films, original series, and specials before being rebranded as MGM+.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785ca1e08190af1a6cdb51ca4fce completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.