Triple

T10811186
Position Surface form Disambiguated ID Type / Status
Subject White Christmas E255101 entity
Predicate featuresCharacter P626 FINISHED
Object Phil Davis E792213 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: [White Christmas, featuresCharacter, Phil Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Davis
Context triple: [White Christmas, featuresCharacter, Phil Davis]
  • A. Phil Davis
    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. Phil Davis chosen
    Phil Davis is a charming, quick-witted song-and-dance man and army veteran who partners with Bob Wallace in the classic musical film "White Christmas."
  • C. Kevin Davis
    Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
  • D. Brad Davis
    Brad Davis is an American musician best known as a member of the country rock band The Boxmasters.
  • E. 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.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.