Triple

T10061025
Position Surface form Disambiguated ID Type / Status
Subject Paola Mori E212987 entity
Predicate name P16 FINISHED
Object Paola Mori E212987 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: Paola Mori | Statement: [Paola Mori, name, Paola Mori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paola Mori
Context triple: [Paola Mori, name, Paola Mori]
  • A. Paola Mori chosen
    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.
  • B. Franca Pilla
    Franca Pilla is an Italian public figure best known as the wife of former President of Italy Carlo Azeglio Ciampi and for her role as Italy’s first lady during his presidency.
  • C. Nicoletta Peyran
    Nicoletta Peyran is a French former assistant director and academic best known as the longtime partner of American actor John Malkovich.
  • D. Rita Rossi
    Rita Rossi is the birth name of Rita R. Colwell, an American microbiologist and former director of the U.S. National Science Foundation known for her research on cholera and marine microbes.
  • E. Valeria Golino
    Valeria Golino is an Italian actress and director known for her work in both European art-house cinema and Hollywood films such as "Rain Man" and "Hot Shots!".
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317367204819097d3ed6a72a0f8b5 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:57 p.m.