Triple
T19443243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Robert Gilmour |
E486404
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gilmour |
—
|
NE NERFINISHED |
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: Gilmour | Statement: [Douglas Robert Gilmour, familyName, Gilmour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilmour Context triple: [Douglas Robert Gilmour, familyName, Gilmour]
-
A.
Gilmour
chosen
Gilmour is a surname most prominently associated with Canadian former professional ice hockey player Doug Gilmour.
-
B.
Ian Little Gilmour
Ian Little Gilmour was a British Conservative politician and cabinet minister who served in senior roles including Defence Secretary and Lord Privy Seal during the 1970s and early 1980s.
-
C.
Douglas Robert Gilmour
Douglas Robert Gilmour is a retired Canadian professional ice hockey player and Hockey Hall of Famer best known for his prolific two-way play and leadership, particularly with the Toronto Maple Leafs and Calgary Flames.
-
D.
Wakeman
Wakeman is a small village in Huron County, Ohio, known for its rural character and location along the Vermilion River.
-
E.
Blackmore
Blackmore is an English surname borne by various notable individuals across fields such as science, music, and literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63386c520819092bea5d7f259a226 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.