Triple
T11396666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margery Latimer |
E269992
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Latimer |
E865530
|
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: Latimer | Statement: [Margery Latimer, familyName, Latimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latimer Context triple: [Margery Latimer, familyName, Latimer]
-
A.
Latimer
Latimer is a village in Buckinghamshire, England, known for its historic country houses and picturesque Chilterns countryside setting.
-
B.
Latimer
chosen
Latimer is a surname of English origin borne by various notable individuals across fields such as politics, religion, and the arts.
-
C.
Hardwicke
Hardwicke is a given name most notably borne by Hardwicke Rawnsley, an English clergyman, conservationist, and co-founder of the National Trust.
-
D.
Ruxley
Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
-
E.
Moorfield
Moorfield is a given name most notably borne by Moorfield Storey, an American lawyer and civil rights leader who served as the first president of the NAACP.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:34 p.m.