Triple

T8085853
Position Surface form Disambiguated ID Type / Status
Subject 1st to Die E188728 entity
Predicate followedBy P78 FINISHED
Object 2nd Chance E711666 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: 2nd Chance | Statement: [1st to Die, followedBy, 2nd Chance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2nd Chance
Context triple: [1st to Die, followedBy, 2nd Chance]
  • A. 2nd Chance chosen
    2nd Chance is the second novel in James Patterson’s Women’s Murder Club crime thriller series, following a team of women professionals who work together to solve a string of brutal murders.
  • B. One Chance
    One Chance is a 2013 British biographical comedy-drama film about opera singer Paul Potts, directed by David Frankel.
  • C. Zero Chance
    "Zero Chance" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • D. Last Chance Lost
    "Last Chance Lost" is a song by Joni Mitchell from her 1994 album *Turbulent Indigo*, noted for its introspective lyrics and somber tone.
  • E. One More Chance
    "One More Chance" is a hit hip-hop single by The Notorious B.I.G., known for its smooth R&B-influenced remix and status as one of his most commercially successful and iconic tracks.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4160e4748190ae63624a2a03d09f completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93f6eb9c8190b33210621d215d56 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:29 p.m.