Triple

T13479360
Position Surface form Disambiguated ID Type / Status
Subject Benito Martinez E318330 entity
Predicate portrayed P1668 FINISHED
Object David Aceveda E330386 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 Aceveda | Statement: [Benito Martinez, portrayed, David Aceveda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Aceveda
Context triple: [Benito Martinez, portrayed, David Aceveda]
  • A. David Aceveda chosen
    David Aceveda is an ambitious and politically driven LAPD captain-turned-councilman in the crime drama series "The Shield," often clashing with the show's corrupt anti-gang unit.
  • B. David Santiago
    David Santiago is a character in the television series "Brooklyn Nine-Nine," known as Amy Santiago's older brother.
  • C. 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.
  • D. David Arellano
    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.
  • E. Daniel Morales
    Daniel Morales is the reckless yet highly skilled Marseille taxi driver and protagonist of the French action-comedy Taxi film series.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75481b6f48190b6cd6cef3e8dee20 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.