Triple
T5547604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roderick Thomas Langway |
E145447
|
entity |
| Predicate | numberOfTimesAwardedJamesNorrisMemorialTrophy |
P14537
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Roderick Thomas Langway, numberOfTimesAwardedJamesNorrisMemorialTrophy, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAwardedJamesNorrisMemorialTrophy Context triple: [Roderick Thomas Langway, numberOfTimesAwardedJamesNorrisMemorialTrophy, 2]
-
A.
NorrisTrophyWins
chosen
Indicates the number of times an entity has won the Norris Trophy, awarded annually to the NHL’s top defenseman.
-
B.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
-
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.
CalderTrophyYear
Indicates the year in which a player received the Calder Memorial Trophy.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe0244c8190aeb995f79f22a039 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.