Triple

T7518679
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2023 E177709 entity
Predicate referee P268 FINISHED
Object Armando Villarreal E330722 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: Armando Villarreal | Statement: [MLS Cup 2023, referee, Armando Villarreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armando Villarreal
Context triple: [MLS Cup 2023, referee, Armando Villarreal]
  • A. Armando Villarreal chosen
    Armando Villarreal is an American professional soccer referee who officiates in Major League Soccer and has been selected for high-profile matches and tournaments.
  • B. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • C. Hector Ruiz
    Hector Ruiz is a Mexican-American engineer and business executive best known for serving as CEO and chairman of semiconductor company AMD, where he led major strategic initiatives including the acquisition of ATI.
  • D. Ricardo Chávez
    Ricardo Chávez is a Mexican actor known for his work in telenovelas and film.
  • E. Ricardo Legorreta
    Ricardo Legorreta was a prominent Mexican architect known for his bold use of color, geometric forms, and modernist interpretations of traditional Mexican architecture in public and civic spaces worldwide.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7b042c8819098e345be61bbe943 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:46 p.m.