Triple

T23059896
Position Surface form Disambiguated ID Type / Status
Subject The World, the Flesh and the Devil E574267 entity
Predicate editor P1954 FINISHED
Object John McSweeney Jr. 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 McSweeney Jr. | Statement: [The World, the Flesh and the Devil, editor, John McSweeney Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McSweeney Jr.
Context triple: [The World, the Flesh and the Devil, editor, 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. Michael McAloney Jr.
    Michael McAloney Jr. is the son of American cabaret singer and actress Julie Wilson.
  • C. 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."
  • D. James McKenna
    James McKenna is an actor known for his role in the Australian film "Romper Stomper."
  • E. 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."
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899f359081909e89e19db3833a3d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.