Triple

T13703339
Position Surface form Disambiguated ID Type / Status
Subject Wendy & Lisa E328572 entity
Predicate hasPart P35 FINISHED
Object Wendy Melvoin E65193 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: Wendy Melvoin | Statement: [Wendy & Lisa, hasPart, Wendy Melvoin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Melvoin
Context triple: [Wendy & Lisa, hasPart, Wendy Melvoin]
  • A. Wendy Melvoin chosen
    Wendy Melvoin is an American guitarist, songwriter, and composer best known for her work with Prince and The Revolution and for scoring film and television projects.
  • B. Susannah Melvoin
    Susannah Melvoin is an American singer and songwriter best known for her work with Prince and The Family and for co-writing the hit song "Nothing Compares 2 U."
  • C. Amy Wren
    Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
  • D. Kathy Valentine
    Kathy Valentine is an American musician best known as the bassist for the pioneering all-female rock band The Go-Go’s.
  • E. Mindy Cohn
    Mindy Cohn is an American actress best known for playing Natalie Green on the classic television sitcom "The Facts of Life."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fcddf08190bee3dce22be39a34 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:54 p.m.