Triple

T3526571
Position Surface form Disambiguated ID Type / Status
Subject Catalina Cortés E74552 entity
Predicate hasGivenName P17 FINISHED
Object Catalina E328177 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: Catalina | Statement: [Catalina Cortés, hasGivenName, Catalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalina
Context triple: [Catalina Cortés, hasGivenName, Catalina]
  • A. Catalina chosen
    Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
  • B. Mariana
    "Mariana" is a famous 1851 Pre-Raphaelite painting by John Everett Millais depicting a solitary woman in a richly detailed interior, inspired by Shakespeare’s "Measure for Measure" and Tennyson’s poem of the same name.
  • C. Mariana
    Mariana is a neighborhood (barrio) within the city of Dorado, Puerto Rico.
  • D. Consuela
    Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
  • E. Santa María del Oro
    Santa María del Oro is a municipality and town in the Mexican state of Nayarit, known for its scenic volcanic crater lake and surrounding natural landscapes.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6bb0748190bfccfe25d2ab41b7 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e90e67c81909944bb81d89e039b completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.