Triple

T19033182
Position Surface form Disambiguated ID Type / Status
Subject Jerry Orbach E465796 entity
Predicate spouse P13 FINISHED
Object Marta Curro 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: Marta Curro | Statement: [Jerry Orbach, spouse, Marta Curro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marta Curro
Context triple: [Jerry Orbach, spouse, Marta Curro]
  • A. Marta Curro chosen
    Marta Curro is an American former actress best known as the first wife of stage and screen actor Jerry Orbach.
  • B. Ángela Molina
    Ángela Molina is a renowned Spanish actress known for her work in European art-house cinema and collaborations with prominent directors such as Luis Buñuel.
  • C. Ana Carrasco
    Ana Carrasco is a Spanish motorcycle racer best known for becoming the first woman to win a solo motorcycle road racing world championship, in the Supersport 300 World Championship.
  • D. Maribel Verdú
    Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
  • E. Paula García
    Paula García is a central character in the Spanish television series "La verdad," involved in a complex mystery surrounding identity and hidden pasts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d741cabc8190900e12265ad269f8 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.