Triple

T3440835
Position Surface form Disambiguated ID Type / Status
Subject Sky Sci-Fi E72559 entity
Predicate formerName P65 FINISHED
Object Sci Fi Channel 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: Sci Fi Channel | Statement: [Sky Sci-Fi, formerName, Sci Fi Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sci Fi Channel
Context triple: [Sky Sci-Fi, formerName, Sci Fi Channel]
  • A. Syfy chosen
    Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
  • B. Omni Television
    Omni Television is a Canadian multilingual television network known for broadcasting programming in a wide range of languages to serve diverse ethnic communities.
  • C. 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.
  • D. Science Channel
    Science Channel is an American cable television network focused on science, technology, space, and exploration programming.
  • E. 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.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f833e88190b5e813f115621a5f completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.