Triple

T23430052
Position Surface form Disambiguated ID Type / Status
Subject Romy Schneider E563300 entity
Predicate child P120 FINISHED
Object Sarah Biasini 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: Sarah Biasini | Statement: [Romy Schneider, child, Sarah Biasini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Biasini
Context triple: [Romy Schneider, child, Sarah Biasini]
  • A. Daniel Biasini chosen
    Daniel Biasini is a French journalist and publicist best known as the second husband of acclaimed Austrian-born actress Romy Schneider.
  • B. Andrea Molesini
    Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
  • C. Andrea Sartoretti
    Andrea Sartoretti is an Italian actor known for his roles in contemporary Italian cinema and television, often appearing in crime and drama productions.
  • D. Nicola Pecorini
    Nicola Pecorini is an Italian cinematographer known for his distinctive visual style and frequent collaborations with director Terry Gilliam on films such as "Fear and Loathing in Las Vegas."
  • E. Andrea Schiavelli
    Andrea Schiavelli is known as the child of the late American character actor Vincent Schiavelli.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d6d1c881908e3c4ac0e7cd30cd completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:48 p.m.