Triple

T5255114
Position Surface form Disambiguated ID Type / Status
Subject The Velvet Underground E118679 entity
Predicate member P10 FINISHED
Object Maureen Tucker E506704 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: Maureen Tucker | Statement: [The Velvet Underground, member, Maureen Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Tucker
Context triple: [The Velvet Underground, member, Maureen Tucker]
  • A. Maureen Tucker chosen
    Maureen Tucker is an American musician best known as the pioneering, minimalist drummer of the influential rock band The Velvet Underground.
  • B. Tina Weymouth
    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.
  • 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. Mary Perkins
    Mary Perkins was the mother of American educator and naturalist Elizabeth Cabot Agassiz.
  • E. Maureen Van Zandt
    Maureen Van Zandt is an American actress and producer best known for her role as Gabriella Dante on the television series "The Sopranos."
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06bfa5e48190bc9313a39d95531e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.