Triple

T10140599
Position Surface form Disambiguated ID Type / Status
Subject Carla Sinclair E226972 entity
Predicate familyName P18 FINISHED
Object Sinclair E59334 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: [Carla Sinclair, familyName, Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinclair
Context triple: [Carla Sinclair, familyName, Sinclair]
  • A. Sinclair chosen
    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.

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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.