Triple

T21004778
Position Surface form Disambiguated ID Type / Status
Subject Transformers: Revenge of the Fallen – The Album E517385 entity
Predicate hasTrack P3284 FINISHED
Object Never Say Never — 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: Never Say Never | Statement: [Transformers: Revenge of the Fallen – The Album, hasTrack, Never Say Never]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Never Say Never
Context triple: [Transformers: Revenge of the Fallen – The Album, hasTrack, Never Say Never]
  • A. Never Say Never
    Never Say Never is a song featured on the R&B album "Put That on Everything."
  • B. Never Say Never
    "Never Say Never" is a song by American rock band The Fray, known for its emotive lyrics and piano-driven alternative rock sound.
  • C. Never Say Never chosen
    "Never Say Never" is a pop song by Justin Bieber, featuring Jaden Smith, that gained widespread popularity as an inspirational anthem and tie-in to the film "The Karate Kid" (2010).
  • D. Never Say Never (album)
    Never Say Never is the multi-platinum 1998 R&B album by Brandy that features hits like "The Boy Is Mine" and solidified her status as a leading pop and R&B artist.
  • E. Say Never
    "Say Never" is a short story by David Foster Wallace included in his collection *Girl with Curious Hair*, exemplifying his experimental, metafictional style.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3b25ec8190aa4530d1f0bb2b9e completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.