Triple

T16281594
Position Surface form Disambiguated ID Type / Status
Subject Francesco Esposito E395274 entity
Predicate isAmbiguousWith P2289 FINISHED
Object Francesco Esposito (academics) E395274 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: Francesco Esposito (academics) | Statement: [Francesco Esposito, isAmbiguousWith, Francesco Esposito (academics)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francesco Esposito (academics)
Context triple: [Francesco Esposito, isAmbiguousWith, Francesco Esposito (academics)]
  • A. Francesco Esposito chosen
    Francesco Esposito is a personal name shared by multiple notable individuals, including professionals in fields such as sports, arts, and academia.
  • B. Francesco Bontempi
    Francesco Bontempi is an Italian music producer and songwriter best known for his work in the 1990s Eurodance scene, particularly with projects like Corona.
  • C. Giovanni Esposito
    Giovanni Esposito is an Italian actor known for his work in film, television, and theater.
  • D. Francesco Barra
    Francesco Barra is an individual notable enough to be recognized as a significant bearer of the surname Barra.
  • E. Francesco Stelluti
    Francesco Stelluti was a 17th-century Italian scientist and polymath, known as an early member of the Accademia dei Lincei and one of the first to publish microscopic observations.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24910c6b881909ae5cc0908dd8eb2 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.