Triple

T19092976
Position Surface form Disambiguated ID Type / Status
Subject Sarah Gadon E467333 entity
Predicate hasWorkedWith P9615 FINISHED
Object James Kent 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: James Kent | Statement: [Sarah Gadon, hasWorkedWith, James Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Kent
Context triple: [Sarah Gadon, hasWorkedWith, James Kent]
  • A. James Kent
    James Kent was a prominent early 19th-century American jurist and legal scholar, best known for his influential "Commentaries on American Law."
  • B. James Kent chosen
    James Kent is a British film and television director best known for his work on period dramas and literary adaptations, including the World War I drama "Testament of Youth."
  • C. James Kent
    James Kent is a fictional character played by actor Luke Grimes, best known from his work in American film and television dramas.
  • D. Mark Robarts
    Mark Robarts is an ambitious young clergyman in Anthony Trollope’s novel "Framley Parsonage," whose social aspirations and financial imprudence drive much of the story’s conflict.
  • E. Charlie Kenton
    Charlie Kenton is a washed-up former boxer who becomes a robot-fighting trainer and reconnects with his estranged son in the sci-fi sports film "Real Steel."
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34cf5e481908e1f180dacd5602f completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.