Triple

T14935655
Position Surface form Disambiguated ID Type / Status
Subject Echenique E372383 entity
Predicate hasNotableBearer P458 FINISHED
Object Rafael Echenique E1236043 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: Rafael Echenique | Statement: [Echenique, hasNotableBearer, Rafael Echenique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Echenique
Context triple: [Echenique, hasNotableBearer, Rafael Echenique]
  • A. Bernardo Echeverría
    Bernardo Echeverría is a notable individual who carries the Echeverría surname, recognized for his prominence among people with that family name.
  • B. Guillermo Echenique chosen
    Guillermo Echenique is a notable individual recognized as a prominent bearer of the surname Echenique.
  • C. Esteban Fuertes
    Esteban Fuertes is an Argentine former football striker best known as a prolific goal-scorer and idol of Club Atlético Colón.
  • D. Rafael Septién
    Rafael Septién is a former Mexican placekicker best known for his successful NFL career with the Dallas Cowboys in the late 1970s and 1980s.
  • E. Enrique García
    Enrique García is a Spanish-language personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014132570081909fab220c002c2f10 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 2:37 a.m.