Triple

T6285061
Position Surface form Disambiguated ID Type / Status
Subject Atlético de Madrid E140879 entity
Predicate chairman P377 FINISHED
Object Enrique Cerezo E210463 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: Enrique Cerezo | Statement: [Atlético de Madrid, chairman, Enrique Cerezo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enrique Cerezo
Context triple: [Atlético de Madrid, chairman, Enrique Cerezo]
  • A. Enrique Cerezo chosen
    Enrique Cerezo is a Spanish film producer and businessman best known for serving as the long-time president of Atlético de Madrid football club.
  • B. Alfredo Rodríguez Ballón
    Alfredo Rodríguez Ballón was a Peruvian aviator regarded as a pioneering figure in the country’s civil aviation history.
  • C. José Rijo
    José Rijo is a former Dominican Major League Baseball pitcher best known for his standout performances with the Cincinnati Reds, including his dominant role in their 1990 championship run.
  • D. Armando Benítez
    Armando Benítez is a former Major League Baseball relief pitcher from the Dominican Republic, best known for his powerful fastball and closing stints with teams like the Baltimore Orioles and New York Mets.
  • E. Luis Colina
    Luis Colina is a film editor known for his work on the movie "Sugar Hill."
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fc906481908283c6c50a212515 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c6ec470819088f16fd762d3c7d7 completed March 28, 2026, 9:16 a.m.
Created at: March 22, 2026, 4:26 p.m.