Triple

T18031202
Position Surface form Disambiguated ID Type / Status
Subject Joseph "Jody" Summers E431393 entity
Predicate hasPartner P1136 FINISHED
Object Yvette 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: Yvette | Statement: [Joseph "Jody" Summers, hasPartner, Yvette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvette
Context triple: [Joseph "Jody" Summers, hasPartner, Yvette]
  • A. Yvette
    Yvette is the given first name of the acclaimed American singer Chaka Khan.
  • B. Yvette
    Yvette is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Orge.
  • C. Yvonne
    Yvonne is a central comedic protagonist in the 1967 British satirical film "Smashing Time," known for her misadventures in swinging London.
  • D. Yvonne
    Yvonne is a character in the musical "Sunday in the Park with George," known as the wife of artist Jules and a figure in the 19th-century Parisian art world depicted in the show.
  • E. Yvonne
    Yvonne is a fictional character in Jean-Luc Godard’s 1967 French New Wave film "La Chinoise," which explores radical student politics in Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be35a70081909d24d36506d18131 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.