Triple
T11639114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Paget |
E276610
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Paget |
E440082
|
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: Paget | Statement: [Alfred Paget, familyName, Paget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paget Context triple: [Alfred Paget, familyName, Paget]
-
A.
Paget
Paget is an industrial and residential suburb located within Queensland’s Mackay Region in Australia.
-
B.
Paget
chosen
Paget is a British noble family name historically associated with the peerage and aristocracy of the United Kingdom.
-
C.
Iredale
Iredale is a surname of English origin, considered a variant spelling of the name Iredell.
-
D.
Potton
Potton is a small market town in Bedfordshire, England, known for its historic town centre and rural surroundings.
-
E.
Sydenham
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87d006e881908e008ffa17502d47 |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.