Triple

T22142256
Position Surface form Disambiguated ID Type / Status
Subject Cristóbal Torriente E547190 entity
Predicate givenName P17 FINISHED
Object Cristóbal 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: Cristóbal | Statement: [Cristóbal Torriente, givenName, Cristóbal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cristóbal
Context triple: [Cristóbal Torriente, givenName, Cristóbal]
  • A. Cristóbal chosen
    Cristóbal is the Spanish given name equivalent to Christopher, commonly used in Spanish-speaking countries.
  • B. Bartolomé
    Bartolomé is the namesake of Bartolomé House, likely a historically or academically significant figure associated with that building.
  • C. Juan Pío de Tristán
    Juan Pío de Tristán was a Spanish-Peruvian military officer and royalist general who fought against the independence forces in early 19th-century South America and later briefly served as president of Peru.
  • D. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • E. Colón
    Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bf78108190b50d937917258693 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.