Triple

T18806056
Position Surface form Disambiguated ID Type / Status
Subject Nick Antosca E459875 entity
Predicate employer P7 FINISHED
Object Syfy 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: Syfy | Statement: [Nick Antosca, employer, Syfy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syfy
Context triple: [Nick Antosca, employer, Syfy]
  • A. Syfy chosen
    Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
  • B. Shudder
    Shudder is a subscription-based streaming service specializing in horror, thriller, and supernatural films and series.
  • C. 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+.
  • D. NBC Mystery Movie
    NBC Mystery Movie was a popular 1970s American television anthology series that featured rotating mystery and crime drama films, including shows like Columbo, McCloud, and McMillan & Wife.
  • E. Sky Sci-Fi
    Sky Sci-Fi is a British television channel dedicated to science fiction, fantasy, and related genre programming, operated by Sky in the UK and Ireland.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d7f8d08190a3e02fab6dc40bb5 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.