Triple

T2289513
Position Surface form Disambiguated ID Type / Status
Subject Back to Basics E51469 entity
Predicate notableTrack P8087 FINISHED
Object Hurt E51463 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: Hurt | Statement: [Back to Basics, notableTrack, Hurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurt
Context triple: [Back to Basics, notableTrack, Hurt]
  • A. Hurt chosen
    "Hurt" is a powerful emotional ballad by Christina Aguilera, known for its dramatic vocals and themes of regret and loss.
  • B. Hurt
    "Hurt" is a haunting, introspective song famously covered by Johnny Cash, whose stark performance and accompanying video poignantly reflect on pain, regret, and mortality.
  • C. Get Hurt
    Get Hurt is a 2014 studio album by American rock band The Gaslight Anthem that explores a darker, more experimental sound than their earlier work.
  • D. Brokenhearted
    "Brokenhearted" is an R&B ballad by American singer Brandy, best known for its emotional vocals and success as one of the standout hits from her debut album.
  • E. Tears in Heaven
    "Tears in Heaven" is a poignant ballad by Eric Clapton reflecting on grief and loss, widely recognized as one of his most emotional and enduring songs.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc273b67c8190bcd96f9a484647ef completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae894f9ff881909d1b3a7956d82576 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:48 p.m.