Triple

T10515662
Position Surface form Disambiguated ID Type / Status
Subject Sigerson literary family E248023 entity
Predicate hasNotableMember P304 FINISHED
Object William Sigerson E892001 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: William Sigerson | Statement: [Sigerson literary family, hasNotableMember, William Sigerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Sigerson
Context triple: [Sigerson literary family, hasNotableMember, William Sigerson]
  • A. William Sigerson chosen
    William Sigerson was an Irish poet and translator associated with the late 19th-century Irish literary and cultural revival.
  • B. George Sigerson
    George Sigerson was an Irish physician, scientist, translator, and leading figure of the Irish literary revival in the late 19th and early 20th centuries.
  • C. William Massey
    William Massey was a prominent early 20th-century New Zealand politician who led the Reform Party and served as the country’s Prime Minister from 1912 to 1925.
  • D. William Rector
    William Rector is an American businessman best known as a founder of the telecommunications company WorldCom, Inc.
  • E. Martin P. Catherwood
    Martin P. Catherwood was an American labor and industrial relations expert who served in prominent public roles in New York State government.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cbacb08190a446c864b97823ad completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e343cd76448190b0583cc15005ac9d completed April 18, 2026, 8:41 a.m.
Created at: April 6, 2026, 12:28 p.m.