Triple

T23305681
Position Surface form Disambiguated ID Type / Status
Subject Celine Dion discography E590425 entity
Predicate includesSingle P11236 FINISHED
Object "Taking Chances" 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: "Taking Chances" | Statement: [Celine Dion discography, includesSingle, "Taking Chances"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Taking Chances"
Context triple: [Celine Dion discography, includesSingle, "Taking Chances"]
  • A. Taking Chances chosen
    Taking Chances is a pop album by Canadian singer Celine Dion that marked her return to English-language studio recordings in the late 2000s.
  • B. Chances
    Chances is a bestselling 1981 novel by Jackie Collins that follows the rise of the powerful Santangelo crime family in a glamorous, gritty world of power, sex, and revenge.
  • C. Chances
    "Chances" is a song from the Backstreet Boys' 2019 album *DNA*, known as a pop ballad reflecting on missed romantic opportunities and fate.
  • D. Taking Chance
    Taking Chance is a 2009 HBO drama film that follows a U.S. Marine officer escorting the body of a fallen soldier home, exploring themes of honor, sacrifice, and the human cost of war.
  • E. “Chance”
    “Chance” is a work that served as the source material or inspiration for Julieta.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972737c08190bd011776564c3861 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.