Triple

T12373934
Position Surface form Disambiguated ID Type / Status
Subject La Famille Bellelli E295073 entity
Predicate depicts P1581 FINISHED
Object Laura Bellelli E980237 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: Laura Bellelli | Statement: [La Famille Bellelli, depicts, Laura Bellelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Bellelli
Context triple: [La Famille Bellelli, depicts, Laura Bellelli]
  • A. Laura Bellelli
    Laura Bellelli is an Italian diplomat who has served in various high-level roles representing Italy abroad.
  • B. Laura Bellelli chosen
    Laura Bellelli is one of the central figures portrayed in Edgar Degas’s painting "The Bellelli Family," which depicts members of his extended family.
  • C. Andrea Belli
    Andrea Belli was an 18th-century Maltese architect and businessman best known for his prominent Baroque works in Valletta.
  • D. Laura Balbo
    Laura Balbo is an Italian sociologist, feminist, and politician known for her work on social inequality, gender studies, and her role as Italy’s Minister for Equal Opportunities.
  • E. Laura Barbieri
    Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d0315c8190988431785a7b1e1e completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:54 p.m.