Triple

T1845539
Position Surface form Disambiguated ID Type / Status
Subject Curtis Institute of Music E41274 entity
Predicate hasPresident P112 FINISHED
Object Roberto Díaz E208443 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: Roberto Díaz | Statement: [Curtis Institute of Music, hasPresident, Roberto Díaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Díaz
Context triple: [Curtis Institute of Music, hasPresident, Roberto Díaz]
  • A. Roberto Díaz chosen
    Roberto Díaz is a renowned violist and music educator who has served as president and CEO of the Curtis Institute of Music.
  • B. Diego Valeri
    Diego Valeri is an Argentine attacking midfielder best known as a star playmaker and club icon for Major League Soccer’s Portland Timbers.
  • C. Guillermo Ochoa
    Guillermo Ochoa is a Mexican professional goalkeeper renowned for his standout performances for both Club América and the Mexico national team, particularly in multiple FIFA World Cups.
  • D. Josef Martínez
    Josef Martínez is a Venezuelan professional footballer and prolific goal-scoring forward best known for his record-breaking stint in Major League Soccer with Atlanta United FC.
  • E. Fabián Navarro
    Fabián Navarro is a contemporary Spanish-language writer and poet known for his experimental, digitally influenced literature and active presence in literary performance scenes.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb051640c819088a8b28a03f57331 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf48e3048190a79824fd92e0079f completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.