Triple

T12925830
Position Surface form Disambiguated ID Type / Status
Subject Storyteller E309241 entity
Predicate containsSong P20452 FINISHED
Object Heartbeat unclear NED1 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: Heartbeat | Statement: [Storyteller, containsSong, Heartbeat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heartbeat
Context triple: [Storyteller, containsSong, Heartbeat]
  • A. Heartbeat
    "Heartbeat" is a popular electro-rap track by Childish Gambino known for its intense production and emotionally charged lyrics about a turbulent relationship.
  • B. Heartbeat
    Heartbeat is a 1986 pop-rock album by American actor and musician Don Johnson, best known for its title track and Johnson’s crossover from television stardom into music.
  • C. Heartbeat
    "Heartbeat" is a song by the British rock band Camp.
  • D. Every Heartbeat
    "Every Heartbeat" is a 1991 pop and contemporary Christian crossover hit by Amy Grant that became one of her most successful mainstream singles.
  • E. By Heart
    "By Heart" is a studio album by acclaimed Filipina singer and Broadway star Lea Salonga, showcasing her vocal versatility through a mix of pop and contemporary ballads.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971eb17c88190bf523da897172a0c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d39d4c81908fab65129f292862 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:42 p.m.