Triple

T11416456
Position Surface form Disambiguated ID Type / Status
Subject Dennis Day E270503 entity
Predicate stageName P7872 FINISHED
Object Dennis Day E270503 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: Dennis Day | Statement: [Dennis Day, stageName, Dennis Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Day
Context triple: [Dennis Day, stageName, Dennis Day]
  • A. Dennis Day chosen
    Dennis Day was an American singer and comedic actor best known for his long-running role as the naive, sweet-voiced tenor on radio and television alongside Jack Benny.
  • B. Gil Doud
    Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
  • C. Rex Harrington
    Rex Harrington is a celebrated Canadian ballet dancer and former principal with the National Ballet of Canada, renowned for his dramatic stage presence and virtuosic technique.
  • D. Cal Massey
    Cal Massey was an American jazz trumpeter and composer known for his politically charged, socially conscious works and collaborations with leading avant-garde jazz musicians of the 1960s.
  • E. Richard Day
    Richard Day was an acclaimed Hollywood art director and production designer known for his work on numerous classic films during the early to mid-20th century.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d352283c8190b3ae7cefbd3bd5da completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.