Triple

T11992110
Position Surface form Disambiguated ID Type / Status
Subject Alex Rodríguez E285431 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: [Alex Rodríguez, notableWork, Desierto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desierto
Context triple: [Alex Rodríguez, 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4726696dc8190bf2a7aa43cb08b19 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.