Triple

T19447941
Position Surface form Disambiguated ID Type / Status
Subject Robin de Jesús E486533 entity
Predicate familyName P18 FINISHED
Object de Jesús 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: de Jesús | Statement: [Robin de Jesús, familyName, de Jesús]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Jesús
Context triple: [Robin de Jesús, familyName, de Jesús]
  • A. Jesús
    Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
  • B. Jesús
    Jesús is a small Andean town in central Peru that serves as the administrative and cultural center of Lauricocha Province in the Huánuco Region.
  • C. De Jesús chosen
    De Jesús is the family name of Puerto Rican singer-songwriter Kany García, reflecting her full birth name Encarnita García De Jesús.
  • D. Jesús María
    Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
  • E. Jesús María
    Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338b25d88190bc137a411576c73f completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.