Triple

T11732351
Position Surface form Disambiguated ID Type / Status
Subject Babel (film score) E278927 entity
Predicate hasPart P35 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: [Babel (film score), hasPart, “Desierto”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Desierto”
Context triple: [Babel (film score), hasPart, “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. El Matorral
    El Matorral is a locality on the island of Fuerteventura in Spain’s Canary Islands, known for hosting Fuerteventura Airport and serving as a gateway for tourists visiting the island.
  • C. El Bolsón
    El Bolsón is a small town in Argentina’s Andean Patagonia known for its scenic mountain setting, artisanal markets, and countercultural, eco-friendly community.
  • D. Soledades
    Soledades is a highly influential Baroque Spanish poem by Luis de Góngora, renowned for its complex, ornate language and central role in the culteranismo literary style.
  • E. Casa del Desierto
    Casa del Desierto is a historic Harvey House railroad depot and hotel in Barstow, California, now serving as a museum and cultural center.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83f98fc481908015df3c4e5d7ed3 completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.