Triple

T11152341
Position Surface form Disambiguated ID Type / Status
Subject Sliders E263816 entity
Predicate broadcastOn P833 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: [Sliders, broadcastOn, Sci-Fi Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sci-Fi Channel
Context triple: [Sliders, broadcastOn, Sci-Fi Channel]
  • A. Syfy chosen
    Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
  • B. Sky Channel
    Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
  • 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. 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.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8719e74819095413abc6c79296c completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4835928ac81909ca2addea6fc3b5f completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:28 p.m.