Triple

T9293102
Position Surface form Disambiguated ID Type / Status
Subject L’Âge d’Or E223569 entity
Predicate productionCompany P490 FINISHED
Object Vicente Huidobro Films E226747 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: Vicente Huidobro Films | Statement: [L’Âge d’Or, productionCompany, Vicente Huidobro Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicente Huidobro Films
Context triple: [L’Âge d’Or, productionCompany, Vicente Huidobro Films]
  • A. Vicente Huidobro Films chosen
    Vicente Huidobro Films was a film production company associated with avant-garde and surrealist cinema in the early 20th century.
  • B. Mariátegui
    Mariátegui is a Peruvian surname most famously associated with José Carlos Mariátegui, an influential Marxist intellectual and essayist in Latin America.
  • C. Manuel Garcia-Rulfo
    Manuel Garcia-Rulfo is a Mexican actor known for his roles in both Hollywood and Mexican cinema, including ensemble casts in major films and prominent parts in television series.
  • D. Le Cinéma
    Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
  • E. Fernando Trueba
    Fernando Trueba is a Spanish film director, screenwriter, and producer known for acclaimed works such as "Belle Époque," which won the Academy Award for Best Foreign Language Film.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0898b3288190a627a58bfd9c57fe completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b241251c81909aa4e8bcf5cd9c2e completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:35 p.m.