Triple

T20542341
Position Surface form Disambiguated ID Type / Status
Subject Andy Wallace E504370 entity
Predicate workedOn P3 FINISHED
Object Toxicity 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: Toxicity | Statement: [Andy Wallace, workedOn, Toxicity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toxicity
Context triple: [Andy Wallace, workedOn, Toxicity]
  • A. Toxicity chosen
    "Toxicity" is a critically acclaimed 2001 metal album by System of a Down known for its aggressive sound, political lyrics, and fusion of alternative, nu, and Armenian-influenced metal styles.
  • B. Toxic
    "Toxic" is a 2003 dance-pop song by Britney Spears, widely regarded as one of her signature hits and praised for its distinctive production and iconic music video.
  • C. Toxic
    Toxic is a music producer known for crafting high-energy, adrenaline-fueled tracks.
  • D. Toxic Reasons
    Toxic Reasons was an American hardcore punk band known for its politically charged lyrics and energetic, fast-paced sound during the 1980s punk scene.
  • E. Strong Poison
    Strong Poison is a classic 1930s British detective novel by Dorothy L. Sayers featuring Lord Peter Wimsey as he investigates a murder case involving a mystery writer accused of poisoning her lover.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:38 a.m.