Triple
T20562588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Thomas |
E504880
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sir John Thomas |
—
|
NE NERFINISHED |
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: Sir John Thomas | Statement: [Sir John Thomas, name, Sir John Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir John Thomas Context triple: [Sir John Thomas, name, Sir John Thomas]
-
A.
Sir John Thomas
chosen
Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
-
B.
Sir John Willison
Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
-
C.
Sir John Johns
Sir John Johns is a pseudonymous persona used by English musician and XTC frontman Andy Partridge.
-
D.
Sir John Pelly
Sir John Pelly was a 19th-century British businessman and governor of the Hudson's Bay Company, influential in the exploration and administration of northern Canada.
-
E.
Sir John Stanier
Sir John Stanier was a senior British Army officer who served as Chief of the General Staff and later as Chief of the Defence Staff during the late 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79f906c819081163de9649ccb17 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.