Triple

T7424288
Position Surface form Disambiguated ID Type / Status
Subject If/Then (Broadway production) E171328 entity
Predicate featuresSong P2152 FINISHED
Object What If? E663230 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: What If? | Statement: [If/Then (Broadway production), featuresSong, What If?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: What If?
Context triple: [If/Then (Broadway production), featuresSong, What If?]
  • A. What If? chosen
    "What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
  • B. What If We Never
    "What If We Never" is a song featured on the album "Some Lessons Learned."
  • C. What If...? (TV series)
    What If...? is a Marvel Studios animated anthology series that explores alternate timelines and reimagined scenarios within the Marvel Cinematic Universe.
  • D. The What
    "The What" is a track from The Notorious B.I.G.'s landmark debut album "Ready to Die," featuring a guest verse from Method Man.
  • E. The Burning Question
    The Burning Question is a book by carbon footprint expert Mike Berners-Lee that explores the climate implications of burning the world’s remaining fossil fuel reserves and argues for urgent systemic change to limit global warming.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f302b33481908eae877970f2bbdf completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8277f749c8190a91f620c71c48433 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:12 p.m.