Triple

T19936031
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Warnes E479177 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: [Jennifer Warnes, 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: [Jennifer Warnes, 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 breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • D. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • E. Your Song
    "Your Song" is a classic pop ballad by Elton John, celebrated for its heartfelt lyrics and simple, melodic piano accompaniment.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6ea0dcc8190b1e987a54115ae3e completed May 16, 2026, 4:47 a.m.
Created at: April 10, 2026, 1:53 p.m.