Triple

T19510869
Position Surface form Disambiguated ID Type / Status
Subject Gringo viejo E488146 entity
Predicate hasEnglishTranslation P2303 FINISHED
Object The Old Gringo 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: The Old Gringo | Statement: [Gringo viejo, hasEnglishTranslation, The Old Gringo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Old Gringo
Context triple: [Gringo viejo, hasEnglishTranslation, The Old Gringo]
  • A. The Man Called Gringo
    The Man Called Gringo is a 1965 West German–Spanish Western film featuring actor Gert Fröbe in its cast.
  • B. Gringo viejo chosen
    Gringo viejo is a novel by Mexican author Carlos Fuentes that fictionalizes the mysterious final days of American writer Ambrose Bierce during the Mexican Revolution.
  • C. The Fighting Gringo
    The Fighting Gringo is a 1939 American Western film featuring actress Olive Carey in a notable role.
  • D. Song of the Gringo
    Song of the Gringo is a 1936 American Western film notable as the feature-film debut of singing cowboy star Tex Ritter.
  • E. A Night in Old Mexico
    A Night in Old Mexico is a 2013 drama film starring Robert Duvall as an aging Texan who embarks on a last wild road trip to Mexico after losing his ranch.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63516572c8190a8719c51fd3f7147 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.