Triple

T1041197
Position Surface form Disambiguated ID Type / Status
Subject Ready to Die E22472 entity
Predicate notableSingle P3283 FINISHED
Object One More Chance E24362 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: One More Chance | Statement: [Ready to Die, notableSingle, One More Chance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One More Chance
Context triple: [Ready to Die, notableSingle, One More Chance]
  • A. One More Chance chosen
    "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.
  • B. Take a Chance on Me
    "Take a Chance on Me" is a hit pop song by the Swedish group ABBA, known for its catchy harmonies and prominent use in the musical and film "Mamma Mia!".
  • C. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • D. Doin' It Again
    Doin' It Again is a stand-up comedy special by George Carlin, showcasing his sharp social commentary and irreverent humor.
  • E. Only One Year
    "Only One Year" is a memoir by Svetlana Alliluyeva, Joseph Stalin’s daughter, recounting her experiences and disillusionment with life in the Soviet Union.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429ad45481908641fcaf72f7d1b9 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.