Triple
T2230893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Norris Memorial Trophy |
E48760
|
entity |
| Predicate | Bobby Orr_numberOfWins |
P14537
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [James Norris Memorial Trophy, Bobby Orr_numberOfWins, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Bobby Orr_numberOfWins Context triple: [James Norris Memorial Trophy, Bobby Orr_numberOfWins, 8]
-
A.
numberOfNHLWins
Indicates the total count of games a team or individual has won in the National Hockey League.
-
B.
NorrisTrophyWins
chosen
Indicates the number of times an entity has won the Norris Trophy, awarded annually to the NHL’s top defenseman.
-
C.
StanleyCupWinsAsPlayer
Indicates the number of times an individual has won the Stanley Cup specifically in the role of a player.
-
D.
ConnSmytheTrophyWins
Indicates the number of times an entity has won the Conn Smythe Trophy.
-
E.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06b7374819089fe643e12797bfd |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.