Triple

T1923291
Position Surface form Disambiguated ID Type / Status
Subject Irene Papas E40171 entity
Predicate name P16 FINISHED
Object Irene Papas E40171 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: Irene Papas | Statement: [Irene Papas, name, Irene Papas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Papas
Context triple: [Irene Papas, name, Irene Papas]
  • A. Irene Papas chosen
    Irene Papas was a renowned Greek actress and singer celebrated for her powerful performances in classic films such as "Zorba the Greek" and "The Guns of Navarone."
  • B. Claudia Cardinale
    Claudia Cardinale is an acclaimed Italian-Tunisian actress renowned for her roles in classic European films of the 1960s such as "8½," "The Leopard," and "Once Upon a Time in the West."
  • C. Sophia Loren
    Sophia Loren is an iconic Italian film actress and international sex symbol renowned for her Academy Award–winning performances and enduring influence on cinema.
  • D. Isabelle Ferrer
    Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
  • E. Isabelle Adjani
    Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb23459ac819088ded5bfac9d4aad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e6678881908d72de7e0f19a648 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.