Triple

T12277712
Position Surface form Disambiguated ID Type / Status
Subject Margery Sharp E292633 entity
Predicate givenName P17 FINISHED
Object Margery E761633 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: Margery | Statement: [Margery Sharp, givenName, Margery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margery
Context triple: [Margery Sharp, givenName, Margery]
  • A. Margery chosen
    Margery is a feminine given name of English origin that has been used since the Middle Ages.
  • B. Margery Durant
    Margery Durant was an American author and socialite best known for her memoir about her father, General Motors founder William C. Durant, and for her involvement in early 20th-century automotive and aviation culture.
  • C. Margery Spencer
    Margery Spencer was the wife of British politician Hamar Greenwood, 1st Viscount Greenwood, who served as Chief Secretary for Ireland during the Irish War of Independence.
  • D. Margery Seymour
    Margery Seymour was a member of the prominent Seymour family of Tudor England, related to the courtly circle that produced Jane Seymour, third wife of King Henry VIII.
  • E. Margaret Wake
    Margaret Wake was the wife of British colonial governor William Tryon and the namesake of Wake County, North Carolina.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.