Triple

T11009732
Position Surface form Disambiguated ID Type / Status
Subject Help! (film) E260215 entity
Predicate editedBy P1954 FINISHED
Object John Victor-Smith E280667 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 Victor-Smith | Statement: [Help! (film), editedBy, John Victor-Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Victor-Smith
Context triple: [Help! (film), editedBy, John Victor-Smith]
  • A. John Victor-Smith chosen
    John Victor-Smith is a film editor best known for his work on major feature films including the superhero movie "Superman III."
  • B. Andreas Whittam Smith
    Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
  • C. Lewis Martin Smith
    Lewis Martin Smith was an individual significant enough in his region or community that a major reservoir, Lewis Smith Lake in Alabama, was named in his honor.
  • D. Simon J. Smith
    Simon J. Smith is a British film director and animator best known for his work on major animated features such as Bee Movie and the Kung Fu Panda franchise.
  • E. Charles Aubrey Smith
    Charles Aubrey Smith was an English cricketer-turned-character actor best known for playing dignified, often aristocratic English gentlemen in early Hollywood films.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79788d44c819084f35693ed96f422 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a97587708190bf31976a3fbc1015 completed April 18, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:25 p.m.