Triple

T4386287
Position Surface form Disambiguated ID Type / Status
Subject 2012 MLS Cup E99249 entity
Predicate goalScorer P2695 FINISHED
Object Omar Gonzalez E479998 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: Omar Gonzalez | Statement: [2012 MLS Cup, goalScorer, Omar Gonzalez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar Gonzalez
Context triple: [2012 MLS Cup, goalScorer, Omar Gonzalez]
  • A. Omar Gonzalez chosen
    Omar Gonzalez is an American professional soccer defender best known for his standout tenure with LA Galaxy and contributions to the United States national team.
  • B. Frank Dominguez
    Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
  • C. Alejandro Moreno
    Alejandro Moreno is a Venezuelan former professional soccer forward known for his successful Major League Soccer career, including key contributions to multiple MLS Cup–winning teams.
  • D. Diego Méndez
    Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
  • E. Victor Sifuentes
    Victor Sifuentes is a charismatic and idealistic attorney on the television drama "L.A. Law," known for his passionate advocacy and exploration of social and ethical legal issues.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be819b434c8190a33d45dcbec81a34 completed March 21, 2026, 11:31 a.m.
Created at: March 12, 2026, 11:19 p.m.