Triple

T18049298
Position Surface form Disambiguated ID Type / Status
Subject Their Greatest Hits: The Record E431884 entity
Predicate hasPart P35 FINISHED
Object Heartbreaker 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: Heartbreaker | Statement: [Their Greatest Hits: The Record, hasPart, Heartbreaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heartbreaker
Context triple: [Their Greatest Hits: The Record, hasPart, Heartbreaker]
  • A. Heartbreaker
    "Heartbreaker" is a song by the British rock band Rainbow, featured on their 1979 album "Down to Earth."
  • B. Heartbreaker
    "Heartbreaker" is a 1982 pop ballad performed by Dionne Warwick, written and produced by the Bee Gees, and widely regarded as one of her signature hits.
  • C. Heartbreaker
    Heartbreaker is a 2010 French romantic comedy film in which Andrew Lincoln appears alongside Romain Duris and Vanessa Paradis.
  • D. Heartbreaker chosen
    "Heartbreaker" is a 1979 rock song by Pat Benatar that became one of her signature hits and a staple of classic rock radio.
  • E. Heartbreaker
    "Heartbreaker" is a popular electro house track by Canadian duo MSTRKRFT, known for its catchy synths and dancefloor-friendly energy.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff4a6e08190a5ca8d191aa7f0ae completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.