Triple
T10159395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinclair Lewis |
E233849
|
entity |
| Predicate | givenName |
P17
|
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: [Sinclair Lewis, givenName, Sinclair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinclair Context triple: [Sinclair Lewis, givenName, 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec56d944819081bc6ea36c905ba2 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300b7b3108190a8e7581193c322be |
completed | April 6, 2026, 12:39 a.m. |
Created at: March 30, 2026, 9:09 p.m.