Triple

T7722321
Position Surface form Disambiguated ID Type / Status
Subject Edmund Happold E175042 entity
Predicate givenName P17 FINISHED
Object Edmund E21039 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: Edmund | Statement: [Edmund Happold, givenName, Edmund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund
Context triple: [Edmund Happold, givenName, Edmund]
  • A. Edmund chosen
    Edmund is a traditional given name of English origin, historically borne by kings and saints and still used in various English-speaking countries.
  • B. Edmund of Abingdon
    Edmund of Abingdon was a 13th-century English scholar, theologian, and Archbishop of Canterbury who was later canonized as a saint in the Catholic Church.
  • C. Edmund Breon
    Edmund Breon was a Scottish character actor of the early 20th century, known for his supporting roles in British and American films, particularly during the silent and early sound eras.
  • D. Lord Edmund
    Lord Edmund was the noble style used by Edmund Crouchback, 1st Earl of Lancaster, a prominent 13th-century English prince and younger son of King Henry III.
  • E. Galahad Threepwood
    Galahad Threepwood is a roguish, hard-drinking, and charmingly irreverent member of the Blandings Castle household in P. G. Wodehouse’s comic novels, known for his colorful past and knack for getting entangled in farcical schemes.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f1786881908b025d8986e5f1fa completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51b612881909f20a6b777db348c completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.