Triple
T6303826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovell Edgeworth |
E141322
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Edgeworth |
E120532
|
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: Edgeworth | Statement: [Lovell Edgeworth, familyName, Edgeworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgeworth Context triple: [Lovell Edgeworth, familyName, Edgeworth]
-
A.
Edgeworth
chosen
Edgeworth is an English surname most notably associated with the Anglo-Irish inventor and educationalist Richard Lovell Edgeworth and his prominent family.
-
B.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
C.
Loscoe
Loscoe is a village in Derbyshire, England, known for its residential character and proximity to the town of Heanor.
-
D.
Egerton
Egerton is an English surname historically associated with a prominent aristocratic family influential in British politics, industry, and culture.
-
E.
Gateacre
Gateacre is a suburban district in south Liverpool, England, known for its historic village center and mix of Victorian and modern housing.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645e150881908b49a07914dcbfd8 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e43e085081908546fa120a43bf84 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:27 p.m.