Triple

T20858511
Position Surface form Disambiguated ID Type / Status
Subject Gwynne Gilford E513547 entity
Predicate notableWork P4 FINISHED
Object Fade to Black NE NERFINISHED

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: Fade to Black | Statement: [Gwynne Gilford, notableWork, Fade to Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fade to Black
Context triple: [Gwynne Gilford, notableWork, Fade to Black]
  • A. Fade to Black
    "Fade to Black" is a seminal 1984 Metallica power ballad that blends acoustic passages with heavy riffs and explores themes of depression and suicidal despair.
  • B. Fade to Black chosen
    Fade to Black is a 1980 psychological horror-thriller film about a lonely movie buff whose obsession with classic cinema drives him to commit murders while imitating famous screen icons.
  • C. Fade to Grey
    "Fade to Grey" is a seminal early-1980s synth-pop and New Wave track, best known as the signature hit of the British band Visage and a defining song of the New Romantic movement.
  • D. Blackout
    "Blackout" is a film featuring Scottish actress Sophie Kennedy Clark in a prominent role.
  • E. Blackout
    Blackout is a powerful Decepticon from the Transformers franchise, typically depicted as a massive military helicopter who specializes in devastating aerial assaults and electronic disruption.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.