Triple

T3147576
Position Surface form Disambiguated ID Type / Status
Subject Syfy E65799 entity
Predicate formerName P65 FINISHED
Object Sci Fi 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 | Statement: [Syfy, formerName, Sci Fi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sci Fi
Context triple: [Syfy, formerName, Sci Fi]
  • A. 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.
  • B. Astounding Science Fiction
    Astounding Science Fiction was a highly influential American science fiction magazine, best known for shaping the Golden Age of the genre under editor John W. Campbell.
  • C. New Wave science fiction
    New Wave science fiction was a mid-20th-century literary movement that emphasized experimental writing styles, psychological depth, and social and political themes over traditional space opera adventure.
  • D. Sci-Fi City
    Sci-Fi City is a futuristic-themed zone at Universal Studios Singapore featuring high-tech attractions, including Transformers: The Ride 3D.
  • E. Syfy chosen
    Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f53bbc81908416272cd48af69e completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.