Triple

T2022655
Position Surface form Disambiguated ID Type / Status
Subject Legendary Television E44137 entity
Predicate worksWith P398 FINISHED
Object Syfy E65799 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: Syfy | Statement: [Legendary Television, worksWith, Syfy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syfy
Context triple: [Legendary Television, worksWith, Syfy]
  • A. Syfy chosen
    Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
  • B. 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.
  • C. Paramount Network
    Paramount Network is an American cable television channel owned by Paramount Global, known for airing original scripted series, reality shows, and feature films.
  • D. Blumhouse Television
    Blumhouse Television is the small-screen division of Blumhouse Productions, known for developing and producing horror and thriller series and films for television and streaming platforms.
  • E. Discovery Channel
    Discovery Channel is a global television network known for its documentaries and reality programming focused on science, technology, exploration, and the natural world.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8efbe148190901d3650aa60408a completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af7e5b0819088e2221ddc0a38ce completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.