Triple

T19031873
Position Surface form Disambiguated ID Type / Status
Subject Tony Gwynn E465759 entity
Predicate nickname P55 FINISHED
Object Mr. Padre NE NERFINISHED

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: Mr. Padre | Statement: [Tony Gwynn, nickname, Mr. Padre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Padre
Context triple: [Tony Gwynn, nickname, Mr. Padre]
  • A. Mr. Padre chosen
    Mr. Padre is the famous nickname of Hall of Fame right fielder Tony Gwynn, celebrated as the greatest and most beloved player in San Diego Padres history.
  • B. Padre
    "Padre" is a 2016 Italian drama film directed by and starring Giada Colagrande, exploring themes of grief, spirituality, and family through an intimate, atmospheric narrative.
  • C. Padre Miguel
    Padre Miguel is a residential neighborhood in Rio de Janeiro’s West Zone, known for its traditional samba schools and strong local community life.
  • D. Padre Hurtado
    Padre Hurtado is a commune in Chile known for its suburban character within the Santiago Metropolitan Area and its association with the legacy of Saint Alberto Hurtado.
  • E. Padre Garcia
    Padre Garcia is a landlocked agricultural municipality in the province of Batangas in the Philippines, known particularly for its thriving livestock market.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7410dd08190b08a7c0a2b8d67f3 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.