Triple
T20887517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL coach of the year award |
E514323
|
entity |
| Predicate | typicalPresentationTime |
P6833
|
FINISHED |
| Object | after conclusion of NHL regular season or during playoffs |
—
|
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: after conclusion of NHL regular season or during playoffs | Statement: [NHL coach of the year award, typicalPresentationTime, after conclusion of NHL regular season or during playoffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPresentationTime Context triple: [NHL coach of the year award, typicalPresentationTime, after conclusion of NHL regular season or during playoffs]
-
A.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
B.
presentedAtTime
Indicates that an event, action, or item was presented or occurred at a specific point in time.
-
C.
typicalTimes
chosen
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
D.
transmissionDuration
Indicates the length of time over which a transmission or transfer of data, signal, or content occurs.
-
E.
typicalResolution
Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05acf848190a2bbbf33377f23d3 |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.