Triple
T1374852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archibald Sinclair |
E30196
|
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: [Archibald Sinclair, familyName, Sinclair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinclair Context triple: [Archibald 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.
Turner
Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
-
C.
Lewis
"Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
-
D.
Lewis
Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
-
E.
Darrow
Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f7aeb08190b52ef1058c18327e |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd485e7e48190b4c2dcec53ebe195 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:57 p.m.