Triple

T15920704
Position Surface form Disambiguated ID Type / Status
Subject Come Away with Me E386084 entity
Predicate hasPart P35 FINISHED
Object Cold Cold Heart E709813 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: Cold Cold Heart | Statement: [Come Away with Me, hasPart, Cold Cold Heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cold Cold Heart
Context triple: [Come Away with Me, hasPart, Cold Cold Heart]
  • A. Cold, Cold Heart chosen
    "Cold, Cold Heart" is a classic country song by Hank Williams, renowned for its poignant lyrics about heartbreak and emotional distance.
  • B. Cold Hearted
    "Cold Hearted" is a hit 1989 dance-pop single by American singer Paula Abdul, noted for its edgy choreography and prominent MTV music video.
  • C. Cold Hearted
    "Cold Hearted" is a track from the 1982 hard rock album *Corridors of Power* by Northern Irish guitarist Gary Moore.
  • D. Cold Heart
    "Cold Heart" is a 2001 psychological thriller film starring Josh Holloway in one of his early notable screen roles.
  • E. Cold as You
    "Cold as You" is an early Taylor Swift country ballad known for its raw portrayal of heartbreak and emotional vulnerability.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156818cbc819086c956475ad23825 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a96e508190a64c2be6dc506e86 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.