Triple

T12274154
Position Surface form Disambiguated ID Type / Status
Subject Monumental de Colo-Colo E292546 entity
Predicate namedAfter P63 FINISHED
Object David Arellano E64306 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: David Arellano | Statement: [Monumental de Colo-Colo, namedAfter, David Arellano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Arellano
Context triple: [Monumental de Colo-Colo, namedAfter, David Arellano]
  • A. David Arellano chosen
    David Arellano was a Chilean footballer and influential early 20th-century sports figure best known for co-founding and starring for the club Colo-Colo.
  • B. Cristóbal Rios
    Cristóbal Rios is a former Starfleet officer turned roguish starship captain who serves as a key ally to Jean-Luc Picard in the series Star Trek: Picard.
  • C. Rodrigo Corral
    Rodrigo Corral is a prominent American graphic designer best known for creating distinctive, concept-driven book covers for major contemporary authors and publishers.
  • D. Héctor Vivanco
    Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
  • E. Jorge Huerta
    Jorge Huerta is a prominent Chicano theater scholar, director, and educator known for his pioneering work in documenting and advancing Latino/a performance in the United States.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cef684081908adaee8e04facc2e completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739668f3481909cc7564c3ede2896 completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:52 p.m.