Triple
T6638802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brewster |
E150528
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Brewester |
E49057
|
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: Brewester | Statement: [Brewster, hasVariant, Brewester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brewester Context triple: [Brewster, hasVariant, Brewester]
-
A.
Brewis
Brewis is a posh, weed-dealing college student who gets caught up with the South London teens battling alien invaders in the sci-fi film "Attack the Block."
-
B.
Brewer
Brewer is a common English occupational surname originally given to people who brewed ale or beer.
-
C.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
D.
Moo Brew brewery
Moo Brew brewery is a Tasmanian craft brewery known for its contemporary beers and close connection to the Museum of Old and New Art (MONA).
-
E.
Brewster
chosen
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff082b0819089f5a69aa67d5346 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e453cb14819093597dda825b4304 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 2 p.m.