Triple

T17623668
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Wives E429773 entity
Predicate director P255 FINISHED
Object Robert Day NE NERFINISHED

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: Robert Day | Statement: [Hollywood Wives, director, Robert Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Day
Context triple: [Hollywood Wives, director, Robert Day]
  • A. Robert Day chosen
    Robert Day was a British film and television director known for his work on mid-20th-century adventure, horror, and genre films.
  • B. William Louis Day
    William Louis Day was an American lawyer and federal judge who served on the United States District Court for the Northern District of Ohio in the early 20th century.
  • C. Christopher Fairbank
    Christopher Fairbank is a British character actor known for his distinctive features and roles in film and television, including appearances in productions such as "Auf Wiedersehen, Pet" and various Shakespearean adaptations.
  • D. Francis Boggs
    Francis Boggs was an early American film director and pioneer of West Coast moviemaking who helped establish the foundations of the Hollywood film industry in the silent era.
  • E. William Reeves
    William Reeves is a pioneering computer graphics and animation expert at Pixar, known for his influential work on early CGI films and development of key rendering techniques.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dba664c81909dcaf44779db5565 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.