Triple

T14074985
Position Surface form Disambiguated ID Type / Status
Subject Dangerous When Wet E338707 entity
Predicate editedBy P1954 FINISHED
Object John McSweeney Jr. E574267 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: John McSweeney Jr. | Statement: [Dangerous When Wet, editedBy, John McSweeney Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McSweeney Jr.
Context triple: [Dangerous When Wet, editedBy, John McSweeney Jr.]
  • A. John McSweeney Jr. chosen
    John McSweeney Jr. is a film editor best known for his work on mid-20th-century American movies, including the science fiction drama "The World, the Flesh and the Devil."
  • B. Christian McLaughlin
    Christian McLaughlin is a television producer and writer known for his work on various comedy and genre projects, including the film "The Invisible Woman."
  • C. James McKenna
    James McKenna is an actor known for his role in the Australian film "Romper Stomper."
  • D. James McKenna
    James McKenna is a television writer and producer best known as one of the creators of the educational science series "Bill Nye the Science Guy."
  • E. Sean McNulty
    Sean McNulty is a minor character in the television series "The Wire," known primarily as one of detective Jimmy McNulty's sons.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5bc49881909012b66fa451f495 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66eeb248190b73e992ab6b9af82 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.