Triple

T12172865
Position Surface form Disambiguated ID Type / Status
Subject Saint-Clair E290013 entity
Predicate gaveRiseTo P1257 FINISHED
Object Sinclair unclear NED1 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: Sinclair | Statement: [Saint-Clair, gaveRiseTo, Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinclair
Context triple: [Saint-Clair, gaveRiseTo, Sinclair]
  • A. Sinclair
    Sinclair is a common Scottish-origin surname borne by numerous notable figures across sports, politics, literature, and entertainment.
  • B. Sinclair Stevens
    Sinclair Stevens was a Canadian lawyer, businessman, and Progressive Conservative politician who served as a federal cabinet minister in the 1980s.
  • C. Sinclair Hood
    Sinclair Hood was a British archaeologist renowned for his pioneering excavations and scholarship on Minoan Crete and Aegean prehistory.
  • D. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • E. Nisbet
    Nisbet is a Scottish-origin surname borne by various notable individuals across history, including figures in politics, the arts, and academia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a6de3081908e5e0030c081d5a4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.