Triple
T24577352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986–87 NHL season |
E608150
|
entity |
| Predicate | ladyByngTrophyDescription |
P156404
|
FINISHED |
| Object | sportsmanship and gentlemanly conduct |
—
|
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: sportsmanship and gentlemanly conduct | Statement: [1986–87 NHL season, ladyByngTrophyDescription, sportsmanship and gentlemanly conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ladyByngTrophyDescription Context triple: [1986–87 NHL season, ladyByngTrophyDescription, sportsmanship and gentlemanly conduct]
-
A.
wonLadyByngMemorialTrophy
Indicates that the subject has been awarded the Lady Byng Memorial Trophy.
-
B.
numberOfLadyByngTrophies
Indicates the number of Lady Byng Memorial Trophies that an entity has received.
-
C.
LadyByngMemorialTrophySeason
Indicates the season in which a given Lady Byng Memorial Trophy was awarded or associated with a player.
-
D.
numberOfTimesWonLadyByngMemorialTrophy
Indicates how many times an entity has won the Lady Byng Memorial Trophy.
-
E.
LadyByngTrophyWinnerTeam
Indicates the team for which a given Lady Byng Memorial Trophy winner was playing when they received the award.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97be2ac8190aecf5e54a37e266a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.