Triple

T16568978
Position Surface form Disambiguated ID Type / Status
Subject Alfonso Arau E402533 entity
Predicate notableWork P4 FINISHED
Object Old Gringo E488146 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: Old Gringo | Statement: [Alfonso Arau, notableWork, Old Gringo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Gringo
Context triple: [Alfonso Arau, notableWork, Old Gringo]
  • A. 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.
  • B. The Man Called Gringo
    The Man Called Gringo is a 1965 West German–Spanish Western film featuring actor Gert Fröbe in its cast.
  • C. El Viejo
    El Viejo is a nickname for San Cristóbal, a city in the Dominican Republic known for its historical significance and proximity to the capital, Santo Domingo.
  • D. El Viejo
    El Viejo is a municipality in northwestern Nicaragua known for its colonial architecture and religious traditions, particularly the veneration of the Virgin of El Viejo.
  • E. Gringo
    Gringo is a dark comedy–crime film in which Paris Jackson appears alongside an ensemble cast in a story about a businessman caught up in a dangerous scheme in Mexico.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35773c00c819091731bebc02a69bb completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee616a0819089b3cdc1da951735 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.