Triple

T14990446
Position Surface form Disambiguated ID Type / Status
Subject From Prada to Nada E373819 entity
Predicate productionCompany P490 FINISHED
Object Pantelion Films E373416 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: Pantelion Films | Statement: [From Prada to Nada, productionCompany, Pantelion Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantelion Films
Context triple: [From Prada to Nada, productionCompany, Pantelion Films]
  • A. Pantelion Films chosen
    Pantelion Films is a film production and distribution company known for specializing in Latino-focused and Spanish-language movies, formed as a joint venture between Lionsgate and Televisa.
  • B. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • C. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • D. Valoria Films
    Valoria Films is a film distribution company known for handling the release of various international and independent movies.
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969683348190bb4688f24227af88 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.