Triple

T16249468
Position Surface form Disambiguated ID Type / Status
Subject Juno and the Paycock E394460 entity
Predicate stars P1956 FINISHED
Object Edward Chapman E258153 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: Edward Chapman | Statement: [Juno and the Paycock, stars, Edward Chapman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Chapman
Context triple: [Juno and the Paycock, stars, Edward Chapman]
  • A. Edward Chapman chosen
    Edward Chapman was an English character actor best known for his comic roles in British films and his long-running collaboration with comedian Norman Wisdom.
  • B. Edward Chapman
    Edward Chapman is a British businessman best known as the co-founder and CEO of the fashion label Marchesa and the brother of designer Georgina Chapman.
  • C. Robert Hichens
    Robert Hichens was a British novelist and short story writer known for his psychological thrillers and society novels in the late 19th and early 20th centuries.
  • D. Cecil Poynton
    Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
  • E. George Denham
    George Denham is a central character in the 1959 romantic comedy film "It Happened to Jane," serving as Jane Osgood’s supportive friend and love interest as she battles a powerful railroad company.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24594f23c8190bd59fcb2585cb5e3 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d9de7548190974851dc54465f0b completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:04 a.m.