Triple

T12289860
Position Surface form Disambiguated ID Type / Status
Subject Chano Pozo E292926 entity
Predicate givenName P17 FINISHED
Object Luciano E306977 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: Luciano | Statement: [Chano Pozo, givenName, Luciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luciano
Context triple: [Chano Pozo, givenName, Luciano]
  • A. Luciano chosen
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • B. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • C. Luciano Emilio
    Luciano Emilio is a Brazilian former professional soccer forward best known for his prolific goal-scoring with D.C. United in Major League Soccer.
  • D. Antonio Contino
    Antonio Contino was a Venetian architect best known for designing the iconic Bridge of Sighs in Venice, Italy.
  • E. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d21692481908c97edc3d602f1d5 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9e909081909b341398e7aae954 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:52 p.m.