Triple

T17067994
Position Surface form Disambiguated ID Type / Status
Subject The President Show E414136 entity
Predicate executiveProducer P7225 FINISHED
Object Tony Hernandez E956129 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: Tony Hernandez | Statement: [The President Show, executiveProducer, Tony Hernandez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Hernandez
Context triple: [The President Show, executiveProducer, Tony Hernandez]
  • A. Tony Hernandez chosen
    Tony Hernandez is a television producer and media executive known for co-founding and leading the production company JAX Media, which has been behind numerous acclaimed comedy and drama series.
  • B. George Hernandez
    George Hernandez was an early 20th-century American character actor who appeared in numerous silent films.
  • C. Armando Dominguez
    Armando Dominguez was a Mexican composer known for his work in film music, including contributing the score to the experimental Disney–Dalí short film "Destino."
  • D. Vincent Perez
    Vincent Perez is a Swiss actor and director known for his roles in European cinema and Hollywood films such as "Queen of the Damned" and "The Crow: City of Angels."
  • E. Hector Duran
    Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbeb2a48190a733a4cc829c16de completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123509e1481908cfc304b02fe8632 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.