Triple

T23068295
Position Surface form Disambiguated ID Type / Status
Subject Maria McGuire E575115 entity
Predicate workDirector P32895 FINISHED
Object John Badham 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: John Badham | Statement: [Maria McGuire, workDirector, John Badham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Badham
Context triple: [Maria McGuire, workDirector, John Badham]
  • A. John Badham chosen
    John Badham is a British-American film director best known for popular movies such as "Saturday Night Fever," "WarGames," and "Short Circuit."
  • B. 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.
  • C. Christopher Landon
    Christopher Landon was a British novelist and screenwriter best known for his wartime adventure novels and their film adaptations.
  • D. Tony Oldham
    Tony Oldham is a British caver, author, and publisher known for his extensive work documenting caves and karst landscapes around the world.
  • E. Adrian Sturges
    Adrian Sturges is a British film and television producer known for his work on independent and genre-bending projects, including the thriller "The Escapist" (2008).
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.