Triple
T772973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Clancy Memorial Trophy |
E16321
|
entity |
| Predicate | isNonStatisticalAward |
P19010
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [King Clancy Memorial Trophy, isNonStatisticalAward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonStatisticalAward Context triple: [King Clancy Memorial Trophy, isNonStatisticalAward, true]
-
A.
isIndividualOrTeamAward
Indicates that an award is given either to a single individual or collectively to a team, rather than to another type of recipient.
-
B.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
-
E.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
- F. None of above. chosen
Provenance (4 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a72eda6c81908205ae5a1e05cc20 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a508c42c8190850a0ac7844a3ea9 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.