Triple

T18073565
Position Surface form Disambiguated ID Type / Status
Subject The Big Sombrero E432494 entity
Predicate starring P1507 FINISHED
Object Martin Garralaga NE NERFINISHED

How this triple was built (3 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: Martin Garralaga | Statement: [The Big Sombrero, starring, Martin Garralaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Garralaga
Context triple: [The Big Sombrero, starring, Martin Garralaga]
  • A. Freddy García
    Freddy García is a Venezuelan former Major League Baseball starting pitcher best known for his successful stints with the Seattle Mariners and Chicago White Sox, including helping lead the White Sox to a World Series title.
  • B. Sergio Romo
    Sergio Romo is an American former Major League Baseball relief pitcher best known as a key closer for the San Francisco Giants during their early-2010s championship runs.
  • C. Ruben Victoriano
    Ruben Victoriano, better known as Ruvik, is the primary antagonist and mentally unstable mastermind behind the STEM system in the survival horror video game The Evil Within.
  • D. Brett Keller
    Brett Keller is the chief executive officer of Priceline, a major online travel booking company.
  • E. Michael Lannan
    Michael Lannan is an American television writer and producer best known for creating the HBO series "Looking," which explores the lives of gay men in San Francisco.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Garralaga
Target entity description: Martin Garralaga was a Spanish-born American character actor best known for his numerous supporting roles in Hollywood Westerns and Latin-themed films from the 1930s through the 1950s.
  • A. Freddy García
    Freddy García is a Venezuelan former Major League Baseball starting pitcher best known for his successful stints with the Seattle Mariners and Chicago White Sox, including helping lead the White Sox to a World Series title.
  • B. Sergio Romo
    Sergio Romo is an American former Major League Baseball relief pitcher best known as a key closer for the San Francisco Giants during their early-2010s championship runs.
  • C. Ruben Victoriano
    Ruben Victoriano, better known as Ruvik, is the primary antagonist and mentally unstable mastermind behind the STEM system in the survival horror video game The Evil Within.
  • D. Brett Keller
    Brett Keller is the chief executive officer of Priceline, a major online travel booking company.
  • E. Michael Lannan
    Michael Lannan is an American television writer and producer best known for creating the HBO series "Looking," which explores the lives of gay men in San Francisco.
  • F. None of above. chosen

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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.