Triple
T3144755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockey Night in Canada |
E65735
|
entity |
| Predicate | notableBroadcastFeature |
P46339
|
FINISHED |
| Object | doubleheader NHL games |
—
|
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: doubleheader NHL games | Statement: [Hockey Night in Canada, notableBroadcastFeature, doubleheader NHL games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBroadcastFeature Context triple: [Hockey Night in Canada, notableBroadcastFeature, doubleheader NHL games]
-
A.
notableBroadcaster
Indicates that the subject is a broadcaster who is particularly prominent, influential, or widely recognized.
-
B.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
C.
notableEpisode
Indicates that a particular episode is especially significant, memorable, or noteworthy in relation to the subject.
-
D.
notableAnnouncer
Indicates that an entity is a well-known or distinguished announcer associated with another entity (such as an event, program, or organization).
-
E.
notableCastFeature
Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada595d4548190b720a6131817833b |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.