Triple

T7292996
Position Surface form Disambiguated ID Type / Status
Subject Will Jennings E164443 entity
Predicate notableWork P4 FINISHED
Object Up Where We Belong E455500 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: Up Where We Belong | Statement: [Will Jennings, notableWork, Up Where We Belong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Up Where We Belong
Context triple: [Will Jennings, notableWork, Up Where We Belong]
  • A. Up Where We Belong chosen
    "Up Where We Belong" is a popular 1982 romantic ballad best known from the film *An Officer and a Gentleman*, performed by Joe Cocker and Jennifer Warnes.
  • B. A Great Big World
    A Great Big World is an American pop duo best known for their emotional ballads and the hit single "Say Something," especially its popular duet version with Christina Aguilera.
  • C. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • D. Your Song
    "Your Song" is a classic pop ballad by Elton John, celebrated for its heartfelt lyrics and simple, melodic piano accompaniment.
  • E. Only Us
    "Only Us" is an emotional duet from the Broadway musical "Dear Evan Hansen" that explores themes of intimacy, acceptance, and starting over in a relationship.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6fc5788190b1b339d051f93c22 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e53faa0481909758a7366cbbe99f completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.