Triple

T20022472
Position Surface form Disambiguated ID Type / Status
Subject Casimiro Marcó del Pont E494898 entity
Predicate givenName P17 FINISHED
Object Casimiro 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: Casimiro | Statement: [Casimiro Marcó del Pont, givenName, Casimiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casimiro
Context triple: [Casimiro Marcó del Pont, givenName, Casimiro]
  • A. Casimiro chosen
    Casimiro is the commonly used name for Brazilian defensive midfielder Casemiro, a highly decorated footballer known for his success with Real Madrid and the Brazil national team.
  • B. Adelino
    Adelino is a masculine given name of Latin origin, commonly used in Portuguese- and Spanish-speaking countries.
  • C. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Ignacio
    Ignacio is a small unincorporated community in Marin County, California, located near the city of Novato.
  • E. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.