Triple

T10812514
Position Surface form Disambiguated ID Type / Status
Subject A Day at the Races E255137 entity
Predicate director P255 FINISHED
Object Sam Wood E48311 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: Sam Wood | Statement: [A Day at the Races, director, Sam Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Wood
Context triple: [A Day at the Races, director, Sam Wood]
  • A. Sam Wood chosen
    Sam Wood was an American film director best known for his work during Hollywood’s Golden Age, including classics such as "A Night at the Opera," "Goodbye, Mr. Chips," and "The Pride of the Yankees."
  • B. Roger Spottiswoode
    Roger Spottiswoode is a British-Canadian film director and editor known for directing a range of Hollywood features, including the James Bond film "Tomorrow Never Dies."
  • C. Lee M. Russell
    Lee M. Russell was an American Democratic politician who served as governor of Mississippi in the early 20th century.
  • D. Christopher Landon
    Christopher Landon is an American film director, screenwriter, and producer best known for his work on the "Paranormal Activity" series and the "Happy Death Day" films.
  • E. Abby Mann
    Abby Mann was an American screenwriter and producer best known for his socially conscious dramas, including the Academy Award–winning screenplay for "Judgment at Nuremberg."
  • 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_69d733eadda48190b2b1183ee60102cb completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15499158481908391f411420b19fc completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:18 p.m.