Triple

T20032771
Position Surface form Disambiguated ID Type / Status
Subject Burning Down the House E497181 entity
Predicate hasLyricist P1141 FINISHED
Object Tina Weymouth 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: Tina Weymouth | Statement: [Burning Down the House, hasLyricist, Tina Weymouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tina Weymouth
Context triple: [Burning Down the House, hasLyricist, Tina Weymouth]
  • A. Tina Weymouth chosen
    Tina Weymouth is an American bassist, singer, and songwriter best known as a founding member of the influential new wave band Talking Heads and the Tom Tom Club.
  • B. Maureen Tucker
    Maureen Tucker is an American musician best known as the pioneering, minimalist drummer of the influential rock band The Velvet Underground.
  • C. Deborah Harry
    Deborah Harry is an American singer, songwriter, and actress best known as the lead vocalist of the new wave band Blondie.
  • D. D’arcy Wretzky
    D’arcy Wretzky is an American musician best known as the original bassist of the alternative rock band The Smashing Pumpkins.
  • E. Mary Perkins
    Mary Perkins was the mother of American educator and naturalist Elizabeth Cabot Agassiz.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66293e3908190ade07ba9e09da803 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.