Triple

T14830342
Position Surface form Disambiguated ID Type / Status
Subject William Sharp E348681 entity
Predicate notableFamily P1481 FINISHED
Object Sharp family E1122270 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: Sharp family | Statement: [William Sharp, notableFamily, Sharp family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharp family
Context triple: [William Sharp, notableFamily, Sharp family]
  • A. Sharp family chosen
    The Sharp family is a notable lineage associated with Scottish author and poet William Sharp, reflecting his familial background and heritage.
  • B. Bright family
    The Bright family is a prominent benefactor family associated with Harvard University, recognized for their significant philanthropic contributions that led to the naming of the Bright-Landry Hockey Center.
  • C. Ball family
    The Ball family is a British family best known for its members' involvement in early 20th-century business and public life, including the famed World War I flying ace Albert Ball Jr.
  • D. Ban family
    The Ban family is a prominent South Korean family known for producing influential figures in politics, diplomacy, and public service.
  • E. Sen family
    The Sen family is the hereditary lineage of Japanese tea masters descended from Sen no Rikyū, central to the development and transmission of the Japanese tea ceremony.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:51 a.m.