Triple

T20468340
Position Surface form Disambiguated ID Type / Status
Subject Tony Lo Bianco E502115 entity
Predicate familyName P18 FINISHED
Object Lo Bianco 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: Lo Bianco | Statement: [Tony Lo Bianco, familyName, Lo Bianco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lo Bianco
Context triple: [Tony Lo Bianco, familyName, Lo Bianco]
  • A. Listán Blanco
    Listán Blanco is a white grape variety traditionally cultivated in the Canary Islands, particularly valued for producing fresh, mineral-driven wines on volcanic soils.
  • B. Bianco chosen
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • C. Misterbianco
    Misterbianco is a town and comune in eastern Sicily, Italy, situated near the city of Catania and known for its historical center and traditional festivals.
  • D. Los Verdiblancos
    Los Verdiblancos is the popular nickname of Spanish football club Real Betis, referring to the team’s traditional green-and-white colors.
  • E. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995e71c08190911fadbc433f0f4d completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.