Triple
T25000713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Stanley Cup championship |
E625710
|
entity |
| Predicate | championGeneralManager |
P43564
|
FINISHED |
| Object | Doug Armstrong |
—
|
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: Doug Armstrong | Statement: [2019 Stanley Cup championship, championGeneralManager, Doug Armstrong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championGeneralManager Context triple: [2019 Stanley Cup championship, championGeneralManager, Doug Armstrong]
-
A.
generalManagerOfChampion
chosen
Indicates that one entity serves as the general manager responsible for overseeing and managing the champion entity.
-
B.
championManager
Indicates that one entity serves as the manager, coach, or primary overseer responsible for the success or performance of a champion entity.
-
C.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
-
D.
champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
-
E.
championCoachPosition
Indicates that a coach held the coaching position for a team that won a championship.
- F. None of above.
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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44b0b35048190ae886a4fd5d385a7 |
completed | May 1, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:04 a.m.