Triple

T10627927
Position Surface form Disambiguated ID Type / Status
Subject Tony Granato E250370 entity
Predicate familyName P18 FINISHED
Object Granato E601970 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: Granato | Statement: [Tony Granato, familyName, Granato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granato
Context triple: [Tony Granato, familyName, Granato]
  • A. Granato chosen
    Granato is an Italian surname borne by various notable individuals in sports and other fields.
  • B. Cerezo
    Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
  • C. Malvazia
    Malvazia is a traditional Mediterranean wine grape variety, best known for producing rich, aromatic Malvasia-style wines ranging from dry to lusciously sweet.
  • D. Comino
    Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
  • E. Neri
    Neri is an Italian surname most notably associated with Saint Philip Neri, a 16th-century Catholic priest and founder of the Congregation of the Oratory.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df9228088190bdd57a95d8671618 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96ba260b48190a5bde201ee3df69a completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 8:57 p.m.