Triple

T6212347
Position Surface form Disambiguated ID Type / Status
Subject José Antonio E138899 entity
Predicate shortForm P43 FINISHED
Object Toño E277168 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: Toño | Statement: [José Antonio, shortForm, Toño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toño
Context triple: [José Antonio, shortForm, Toño]
  • A. Toño chosen
    Toño is a common Spanish diminutive form of the given name Antonio, often used as an affectionate nickname.
  • B. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • C. Juan Rico
    Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
  • D. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Ramon
    Ramon is the surname of Ilan Ramon, the first Israeli astronaut and a payload specialist on the Space Shuttle Columbia.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628adccc8190b94f5c2c1d5d03f7 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f5cf41c8190b4efb1dc0a4a0e5e completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.