Triple
T8075243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wynn Chamberlain |
E188474
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chamberlain |
E189072
|
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: Chamberlain | Statement: [Wynn Chamberlain, familyName, Chamberlain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamberlain Context triple: [Wynn Chamberlain, familyName, Chamberlain]
-
A.
Chamberlain
chosen
Chamberlain is a surname most famously associated with Neville Chamberlain, the British prime minister known for his policy of appeasement toward Nazi Germany before World War II.
-
B.
Armitage
Armitage is an English surname borne by various notable individuals, including actors, politicians, and writers.
-
C.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
D.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
E.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404c513c8190af54d6d6b6d1a81d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f000308190a55379f8bf67f0cd |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:28 p.m.