Triple

T18818863
Position Surface form Disambiguated ID Type / Status
Subject True E460207 entity
Predicate containsHitSingle P15293 FINISHED
Object Lifeline 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: Lifeline | Statement: [True, containsHitSingle, Lifeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifeline
Context triple: [True, containsHitSingle, Lifeline]
  • A. Lifeline chosen
    "Lifeline" is a rock song by American band Papa Roach, known for its anthemic chorus and themes of struggle and emotional resilience.
  • B. Lifeline
    "Lifeline" is a 1982 synth-pop single by British band Spandau Ballet, known for its polished production and role in cementing the group's early-1980s success.
  • C. Lifeline
    "Lifeline" is a pop ballad by British singer-songwriter Ella Henderson, showcasing her powerful vocals and emotive songwriting.
  • D. Lifeline
    "Lifeline" is a song by the American rock band Sparks, known for their quirky, theatrical style and inventive pop compositions.
  • E. Lifeline
    Lifeline is a U.S. federal assistance program that provides discounted phone and internet services to low-income consumers to help ensure affordable access to communications.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b8b7d88190a8828746176776ea completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.