Triple

T17497318
Position Surface form Disambiguated ID Type / Status
Subject Joaquín Blake E426097 entity
Predicate name P16 FINISHED
Object Joaquín Blake 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: Joaquín Blake | Statement: [Joaquín Blake, name, Joaquín Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquín Blake
Context triple: [Joaquín Blake, name, Joaquín Blake]
  • A. Joaquín Blake chosen
    Joaquín Blake was a Spanish general who played a prominent role in the Peninsular War against Napoleonic France.
  • B. Joaquín Martínez
    Joaquín Martínez was a Mexican actor known for his character roles in American Western films and television during the 1960s and 1970s.
  • C. Bobby Soto
    Bobby Soto is an American actor best known for his leading roles in contemporary Los Angeles–set dramas and crime films, including collaborations with director David Ayer.
  • D. Nicolas Cantu
    Nicolas Cantu is an American actor and voice actor known for roles in animated series like "The Amazing World of Gumball" and "Dora and Friends," as well as live-action projects.
  • E. Gabriel Ruelas
    Gabriel Ruelas is a Mexican former professional boxer and ex-WBC super featherweight champion known for his technical skill and participation in several high-profile title bouts in the 1990s.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520f6790819092c36e0e4ecc4cd3 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.