Triple

T11859511
Position Surface form Disambiguated ID Type / Status
Subject Eva Amurri E282122 entity
Predicate name P16 FINISHED
Object Eva Amurri E282122 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: Eva Amurri | Statement: [Eva Amurri, name, Eva Amurri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Amurri
Context triple: [Eva Amurri, name, Eva Amurri]
  • A. Eva Amurri chosen
    Eva Amurri is an American actress and lifestyle blogger known for her film and television roles as well as being the daughter of actress Susan Sarandon and director Franco Amurri.
  • B. Eleonora Vallone
    Eleonora Vallone is an Italian actress and former model known for her film and television work in the late 20th century.
  • C. Marcella De Marchis
    Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
  • D. Nicoletta Peyran
    Nicoletta Peyran is a French former assistant director and academic best known as the longtime partner of American actor John Malkovich.
  • E. Paola Mori
    Paola Mori was an Italian-born actress and countess best known as the third wife of filmmaker Orson Welles and for her roles in several of his later projects.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69a099c8190a674db64c50eca5a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417a954e881909fdd9626d41229e2 completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:43 p.m.