Triple

T4559880
Position Surface form Disambiguated ID Type / Status
Subject American Woman E120566 entity
Predicate executiveProducer P7225 FINISHED
Object Bruna Papandrea E448677 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: Bruna Papandrea | Statement: [American Woman, executiveProducer, Bruna Papandrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruna Papandrea
Context triple: [American Woman, executiveProducer, Bruna Papandrea]
  • A. Bruna Papandrea chosen
    Bruna Papandrea is an Australian film and television producer known for championing female-driven stories, including co-producing acclaimed projects like "Big Little Lies."
  • B. Livia Giuggioli
    Livia Giuggioli is an Italian film producer and environmental activist known for her work in sustainable fashion and documentary filmmaking.
  • C. 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.
  • D. Mara Carfagna
    Mara Carfagna is an Italian politician and former television showgirl who has served as a prominent minister and parliamentarian in center-right governments.
  • E. Irene Mecchi
    Irene Mecchi is an American screenwriter and lyricist best known for her work on Disney animated films such as The Lion King, The Hunchback of Notre Dame, and Hercules.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.