Triple

T9762465
Position Surface form Disambiguated ID Type / Status
Subject Gael García Bernal E236701 entity
Predicate notableWork P4 FINISHED
Object Desierto E630983 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: Desierto | Statement: [Gael García Bernal, notableWork, Desierto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desierto
Context triple: [Gael García Bernal, notableWork, Desierto]
  • A. Desierto chosen
    Desierto is a 2015 survival thriller film about Mexican migrants hunted by a vigilante in the desert, directed by Jonás Cuarón and featuring Jeffrey Dean Morgan as the antagonist.
  • B. La Arenosa
    La Arenosa is a popular nickname for the Colombian city of Barranquilla, known for its vibrant culture and coastal Caribbean character.
  • C. The Desert
    "The Desert" is a luminous 19th-century landscape painting by American artist Sanford Robinson Gifford, exemplifying the Hudson River School’s atmospheric treatment of light and expansive natural vistas.
  • D. Desert Land
    Desert Land is the arid, sand-themed second world in Super Mario Bros. 3, featuring pyramids, quicksand, and desert-dwelling enemies.
  • E. Deadly Desert
    The Deadly Desert is a vast, impassable wasteland of lethal sands that isolates the magical Land of Oz from the surrounding world in L. Frank Baum’s Oz series.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04c70108190a8ed09eb6f2a124e completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcec777c81908b2eff64f4756517 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:25 p.m.