Triple

T10355382
Position Surface form Disambiguated ID Type / Status
Subject 21 Grams E243986 entity
Predicate cinematographer P1953 FINISHED
Object Rodrigo Prieto E151442 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: Rodrigo Prieto | Statement: [21 Grams, cinematographer, Rodrigo Prieto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodrigo Prieto
Context triple: [21 Grams, cinematographer, Rodrigo Prieto]
  • A. Rodrigo Prieto chosen
    Rodrigo Prieto is a renowned Mexican cinematographer known for his visually distinctive work on major films by directors such as Martin Scorsese and Alejandro G. Iñárritu.
  • B. Miguel Ordóñez
    Miguel Ordóñez is an illustrator known for his playful, minimalist artwork in children’s books and other visual storytelling projects.
  • C. Guillermo Pulido
    Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
  • D. Eduardo Navarro
    Eduardo Navarro is a contemporary artist known for his conceptual and often participatory works that explore perception, time, and the relationship between humans and their environment.
  • E. Jorge Robledo
    Jorge Robledo was a 16th-century Spanish conquistador known for exploring and founding several settlements in what is now Colombia.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4aca16a10819097bb8655c8c1a36d completed April 19, 2026, 10:21 a.m.
Created at: April 6, 2026, 11:58 a.m.