Triple

T14708773
Position Surface form Disambiguated ID Type / Status
Subject The Amazing Screw-On Head E345492 entity
Predicate originalNetwork P2594 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: [The Amazing Screw-On Head, originalNetwork, Sci Fi Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sci Fi Channel
Context triple: [The Amazing Screw-On Head, originalNetwork, Sci Fi Channel]
  • A. Star Channel
    Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
  • B. CTV Sci-Fi Channel
    CTV Sci-Fi Channel is a Canadian specialty television network dedicated to science fiction, fantasy, and genre programming, owned by Bell Media.
  • C. 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.
  • D. Syfy chosen
    Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
  • E. Santa Fe Channel
    Santa Fe Channel is a waterfront industrial and maritime waterway located along the shoreline of Point Richmond in Richmond, California.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb609965081908f654bcb9eaaa145 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08a81948190ab903e5b8bfb0c81 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.