Triple

T18084653
Position Surface form Disambiguated ID Type / Status
Subject Soak Up the Sun E432801 entity
Predicate hasBside P15273 FINISHED
Object Chances Are 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: Chances Are | Statement: [Soak Up the Sun, hasBside, Chances Are]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chances Are
Context triple: [Soak Up the Sun, hasBside, Chances Are]
  • A. Chances Are chosen
    "Chances Are" is a classic 1957 romantic pop ballad by Johnny Mathis that became one of his signature hits and a standard of the genre.
  • B. Chances Are
    Chances Are is a 1989 romantic comedy film best known for its reincarnation-themed love story and starring Cybill Shepherd, Robert Downey Jr., and Ryan O’Neal.
  • C. 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.
  • D. Taking Chances
    Taking Chances is a pop album by Canadian singer Celine Dion that marked her return to English-language studio recordings in the late 2000s.
  • E. I Take My Chances
    "I Take My Chances" is a country song best known from its hit recording by Mary Chapin Carpenter, co-written with Don Schlitz, that reflects on risk, faith, and personal independence.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fcdbec819085752e7605ae7772 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.