Triple

T6362718
Position Surface form Disambiguated ID Type / Status
Subject Vera Drake E143148 entity
Predicate castMember P1668 FINISHED
Object Phil Davis E288079 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: Phil Davis | Statement: [Vera Drake, castMember, Phil Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Davis
Context triple: [Vera Drake, castMember, Phil Davis]
  • A. Phil Davis chosen
    Phil Davis is an English actor and director known for his character roles in film and television, including prominent work in British crime dramas and literary adaptations.
  • B. Kevin Davis
    Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
  • C. Phil Bradley
    Phil Bradley is a former American Major League Baseball outfielder best known for his time with the Seattle Mariners and Philadelphia Phillies in the 1980s.
  • D. Ryan Davis
    Ryan Davis is a Ruby developer best known for creating the Minitest testing framework.
  • E. Aaron Davis
    Aaron Davis is a Marvel Comics character, often depicted as a career criminal and the uncle of Miles Morales, whose actions significantly influence Miles’s journey to becoming Spider-Man.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.