Triple

T8319881
Position Surface form Disambiguated ID Type / Status
Subject Wendy Carlos E194802 entity
Predicate givenName P17 FINISHED
Object Wendy E581976 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 | Statement: [Wendy Carlos, givenName, Wendy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy
Context triple: [Wendy Carlos, givenName, Wendy]
  • A. Wendy
    Wendy is a musician best known as the guitarist for Prince’s band The Revolution and as half of the duo Wendy & Lisa.
  • B. Wendy chosen
    Wendy is a feminine given name of English origin, popularized by J.M. Barrie’s character Wendy Darling in "Peter Pan."
  • C. Wendy
    Wendy is a character portrayed by actress and model Jamie King, known from her work in film and television.
  • D. Wendy & Lisa
    Wendy & Lisa is an American musical duo best known for their work with Prince and The Revolution and their subsequent career composing and performing their own eclectic pop, rock, and soundtrack music.
  • E. Betty
    "Betty" is a renowned photorealistic painting by German artist Gerhard Richter, depicting his daughter turning away from the viewer and exemplifying his exploration of perception and representation.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f6686a0819094abc2bfd2e500a5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95a058948190b056d9b0f0607933 completed April 1, 2026, 10:01 p.m.
Created at: March 30, 2026, 5:55 p.m.