Triple

T16796294
Position Surface form Disambiguated ID Type / Status
Subject Josh Freese E408240 entity
Predicate associatedAct P37 FINISHED
Object Suicidal Tendencies E546891 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: Suicidal Tendencies | Statement: [Josh Freese, associatedAct, Suicidal Tendencies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suicidal Tendencies
Context triple: [Josh Freese, associatedAct, Suicidal Tendencies]
  • A. Suicidal Tendencies chosen
    Suicidal Tendencies is an American crossover thrash band from Venice, California, known for pioneering the fusion of hardcore punk and thrash metal since the early 1980s.
  • B. Suicide Is Painless
    "Suicide Is Painless" is the melancholic, jazz-influenced song best known as the theme for the film and television series M*A*S*H, noted for its darkly ironic lyrics about war and death.
  • C. Like Suicide
    "Like Suicide" is a song by the American rock band Soundgarden from their acclaimed 1994 album *Superunknown*.
  • D. Wanting to Die
    "Wanting to Die" is a confessional poem by Anne Sexton that starkly explores suicidal desire and the complex, painful psychology surrounding it.
  • E. Suicide Slum
    Suicide Slum is a notoriously impoverished and crime-ridden neighborhood in DC Comics' Metropolis, often depicted as one of the city's roughest and most downtrodden districts.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2aa1ff48190ab9b6750bc4d7974 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab109694819094c696904faf0418 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.