Triple
T10891397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stratford Warriors |
E257183
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Nelson Emerson |
E875046
|
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: Nelson Emerson | Statement: [Stratford Warriors, notableAlumni, Nelson Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelson Emerson Context triple: [Stratford Warriors, notableAlumni, Nelson Emerson]
-
A.
Nelson Emerson
chosen
Nelson Emerson is a Canadian former professional ice hockey forward who played over a decade in the NHL for multiple teams and later became an executive and development coach.
-
B.
John Nelson
John Nelson is a central fictional figure in the Western-themed narrative of "Kansas Pacific," around whom much of the story's action and conflict revolves.
-
C.
John Nelson
John Nelson was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
-
D.
Louis Nelson
Louis Nelson is an American graphic designer best known for creating the powerful visual narrative elements of the Korean War Veterans Memorial in Washington, D.C.
-
E.
Nelson Woss
Nelson Woss is an Australian film producer best known for his work on the popular family film "Red Dog" and its related projects.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7520550c4819081296546c8f534f1 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a92e09648190ab39053521211743 |
completed | April 18, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:21 p.m.