Triple
T18486217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dewar’s |
E451696
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Dewar |
E1050076
|
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: John Dewar | Statement: [Dewar’s, namedAfter, John Dewar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Dewar Context triple: [Dewar’s, namedAfter, John Dewar]
-
A.
John Dewar
chosen
John Dewar is a Scottish whisky distiller best known for founding the Dewar’s blended Scotch whisky brand.
-
B.
Jes Macallan
Jes Macallan is an American actress best known for her role as Ava Sharpe on the superhero television series DC's Legends of Tomorrow.
-
C.
Thomas Dewar
Thomas Dewar was a prominent Scottish whisky distiller and businessman, best known for co-founding the Dewar’s Scotch whisky brand and helping popularize blended Scotch worldwide.
-
D.
William Grant
William Grant was an architect and landscape designer known for his role in shaping the modern layout and features of New York City's Madison Square Park.
-
E.
Kenneth Dewar
Kenneth Dewar was a British Royal Navy officer and naval historian known for his controversial views on naval tactics and his involvement in interwar naval debates.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d722808190a97828cae8e3846e |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049acadbf48190b71688c715f36c77 |
completed | May 13, 2026, 3:37 p.m. |
Created at: April 10, 2026, 11:35 a.m.