Triple

T5913348
Position Surface form Disambiguated ID Type / Status
Subject Ken Burns E131516 entity
Predicate employer P7 FINISHED
Object Florentine Films E513303 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: Florentine Films | Statement: [Ken Burns, employer, Florentine Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florentine Films
Context triple: [Ken Burns, employer, Florentine Films]
  • A. Florentine Films chosen
    Florentine Films is an American documentary film production company best known for creating in-depth historical series, particularly those directed by Ken Burns.
  • B. Renaissance Films
    Renaissance Films was a British film production and distribution company known for backing acclaimed literary and historical adaptations, particularly in collaboration with director Kenneth Branagh.
  • C. Pantelion Films
    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.
  • D. Romulus Films
    Romulus Films is a British film production and distribution company known for backing several notable mid-20th-century films.
  • E. Millennium Films
    Millennium Films is an American independent film production company known for producing mid-budget action and thriller movies, including titles like The Expendables 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037b85c7481908bc9da9d38e02d2b completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c01ddd30819088571c5b56dbae83 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:59 p.m.