Triple
T24577348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986–87 NHL season |
E608150
|
entity |
| Predicate | vezinaTrophyDescription |
P2890
|
FINISHED |
| Object | best goaltender |
—
|
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: best goaltender | Statement: [1986–87 NHL season, vezinaTrophyDescription, best goaltender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vezinaTrophyDescription Context triple: [1986–87 NHL season, vezinaTrophyDescription, best goaltender]
-
A.
numberOfVezinaTrophies
Indicates the count of Vezina Trophies that an entity (typically an ice hockey goaltender) has been awarded.
-
B.
trophy
chosen
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
C.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
-
D.
namedAfterTrophy
Indicates that one entity has been given a name derived from or in honor of a particular trophy.
-
E.
trophyWeight
Indicates a relationship where a specific weight value is attributed to a 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_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. |
Created at: April 18, 2026, 2:29 a.m.