Triple

T19305484
Position Surface form Disambiguated ID Type / Status
Subject Tatiana S. Riegel E482815 entity
Predicate workOn P30363 FINISHED
Object 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: Gringo | Statement: [Tatiana S. Riegel, workOn, Gringo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gringo
Context triple: [Tatiana S. Riegel, workOn, Gringo]
  • A. Gringo
    "Gringo" is a popular dancehall song by Ghanaian artist Shatta Wale, known for its catchy hook and cinematic Western-themed music video.
  • B. Gringo chosen
    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.
  • C. Gringos
    Gringos is a darkly comic novel by Charles Portis that follows an American expatriate and tomb raider entangled in eccentric adventures in Mexico.
  • D. Gringo viejo
    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.
  • E. The Man Called Gringo
    The Man Called Gringo is a 1965 West German–Spanish Western film featuring actor Gert Fröbe in its cast.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c84fe08190869463bdd0324160 completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.