Triple
T11220222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Burwell |
E265540
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Burwell |
E44377
|
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: Burwell | Statement: [George Burwell, hasFamilyName, Burwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burwell Context triple: [George Burwell, hasFamilyName, Burwell]
-
A.
Burwell
chosen
Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
-
B.
Hawley
Hawley is a small borough in northeastern Pennsylvania known for its historic charm and proximity to the Pocono Mountains and Lake Wallenpaupack.
-
C.
Hawley
Hawley is an English-language surname borne by various notable individuals in politics, academia, and other fields.
-
D.
Evarts
Evarts is a surname most notably associated with William M. Evarts, a prominent 19th-century American lawyer, statesman, and U.S. Secretary of State.
-
E.
Burkley
Burkley is a surname most notably associated with American character actor Dennis Burkley.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4976f38788190855aed6338d819b7 |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.