Triple
T2406167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taron Egerton |
E50280
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Egerton |
E179950
|
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: Egerton | Statement: [Taron Egerton, familyName, Egerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egerton Context triple: [Taron Egerton, familyName, Egerton]
-
A.
Egerton
chosen
Egerton is an English surname historically associated with a prominent aristocratic family influential in British politics, industry, and culture.
-
B.
Egton
Egton is a rural village and civil parish in North Yorkshire, England, situated within the scenic North York Moors National Park.
-
C.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
D.
Ewart
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
-
E.
Bamford
Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e95334819093923b0c36b968f2 |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:58 p.m.