Triple

T12859087
Position Surface form Disambiguated ID Type / Status
Subject A Town Like Alice E307536 entity
Predicate editor P1954 FINISHED
Object John Trumper E866167 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 Trumper | Statement: [A Town Like Alice, editor, John Trumper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Trumper
Context triple: [A Town Like Alice, editor, John Trumper]
  • A. John Trumper chosen
    John Trumper is a film editor best known for his work on notable movies such as "The Italian Job."
  • B. Fred Trumper
    Fred Trumper is the hapless, self-sabotaging graduate student and chronic liar at the center of John Irving’s comic novel "The Water-Method Man," known for his romantic misadventures and fear of commitment.
  • C. Johnny Worricker
    Johnny Worricker is a seasoned, quietly principled MI5 intelligence officer whose moral dilemmas drive the British political thriller film "Page Eight."
  • D. Johnny Brazier
    Johnny Brazier was an American stock car racer best known as a member of the famed Alabama Gang, a group of influential drivers in Southern short-track and NASCAR racing.
  • E. Johnny Mulhair
    Johnny Mulhair is a music producer best known for his work on country recordings such as LeAnn Rimes’ hit “One Way Ticket (Because I Can).”
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bac0c1081909217d865aa8bf9a3 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.