Triple

T11937002
Position Surface form Disambiguated ID Type / Status
Subject Speaking in Tongues E284070 entity
Predicate mainPerformer P1363 FINISHED
Object Tina Weymouth E142016 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: Tina Weymouth | Statement: [Speaking in Tongues, mainPerformer, Tina Weymouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tina Weymouth
Context triple: [Speaking in Tongues, mainPerformer, 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 (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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903094218819092e11b273d87de65 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458b9a35c8190875cb5ac7c9bcfba completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.