Triple
T27025166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Weight |
E680763
|
entity |
| Predicate | KingClancyMemorialTrophySeason |
P61329
|
FINISHED |
| Object | 2010–11 NHL season |
—
|
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: 2010–11 NHL season | Statement: [Doug Weight, KingClancyMemorialTrophySeason, 2010–11 NHL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KingClancyMemorialTrophySeason Context triple: [Doug Weight, KingClancyMemorialTrophySeason, 2010–11 NHL season]
-
A.
KingClancyTrophySeason
chosen
Indicates the specific NHL season during which the King Clancy Memorial Trophy was awarded.
-
B.
KingClancyTrophyYear
Indicates the year in which a given instance of the King Clancy Memorial Trophy was awarded.
-
C.
JenningsTrophySeason
Indicates that the season is one in which a goaltender (or goaltenders) earned the William M. Jennings Trophy for allowing the fewest goals against in the NHL.
-
D.
KingClancyTrophyWinner
Indicates that the subject is the recipient of the NHL’s King Clancy Memorial Trophy for leadership and humanitarian contribution.
-
E.
LadyByngMemorialTrophySeason
Indicates the season in which a given Lady Byng Memorial Trophy was awarded or associated with a player.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6223131b0819081deea3d5ed98ea5 |
completed | May 2, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:10 a.m.