Triple

T18657296
Position Surface form Disambiguated ID Type / Status
Subject Trust No One E456098 entity
Predicate hasPart P35 FINISHED
Object Suffer (live) 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: Suffer (live) | Statement: [Trust No One, hasPart, Suffer (live)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffer (live)
Context triple: [Trust No One, hasPart, Suffer (live)]
  • A. Suffer
    "Suffer" is an R&B-influenced pop song by American singer-songwriter Charlie Puth, known for its falsetto vocals and emotionally charged lyrics about heartbreak.
  • B. Suffer chosen
    Suffer is a landmark 1988 punk rock album by Bad Religion that helped define the melodic hardcore sound and revitalized the Southern California punk scene.
  • C. Suffer
    "Suffer" is a hard-hitting drill/rap track by Chicago rapper Lud Foe known for its aggressive delivery and street-focused lyrics.
  • D. I Suffer Well
    "I Suffer Well" is a song by Depeche Mode, featured as a track on their 2005 studio album "Playing the Angel."
  • E. Forever Suffering
    "Forever Suffering" is a track featured on the album *The Payback*, likely contributing a darker, emotionally intense tone to the record.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550864b0481909e59fbcc79fda839 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.