Triple

T14531392
Position Surface form Disambiguated ID Type / Status
Subject George Abbott E340921 entity
Predicate spouse P13 FINISHED
Object Joy Valderrama E341835 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: Joy Valderrama | Statement: [George Abbott, spouse, Joy Valderrama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joy Valderrama
Context triple: [George Abbott, spouse, Joy Valderrama]
  • A. Eva Cárdenas
    Eva Cárdenas is a Spanish businesswoman known for her long-term relationship with politician Alberto Núñez Feijóo and her work in the corporate and design sectors.
  • B. Valerie Vasquez
    Valerie Vasquez is a makeup artist and the wife of American stand-up comedian and actor Andrew Dice Clay.
  • C. Renée Estevez
    Renée Estevez is an American actress and writer known for her roles in films like "Heathers" and appearances on the television series "The West Wing."
  • D. Movita Castaneda chosen
    Movita Castaneda was an American actress and singer best known for her roles in classic films such as "Mutiny on the Bounty" (1935) and "Fort Apache" (1948).
  • E. Claudia Ramírez
    Claudia Ramírez is a Mexican actress known for her work in film and television, particularly in acclaimed Mexican cinema of the late 20th century.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a56872c8190a6d2421cb81aeeb1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.