Triple
T34803433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OHL regular season |
E1003280
|
entity |
| Predicate | awardsConferredAfter |
P194384
|
FINISHED |
| Object | individual player awards |
—
|
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: individual player awards | Statement: [OHL regular season, awardsConferredAfter, individual player awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsConferredAfter Context triple: [OHL regular season, awardsConferredAfter, individual player awards]
-
A.
namedAfterAwardYear
Indicates that one entity is named after the year in which a particular award was given or received.
-
B.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
C.
permanentAwardYear
Indicates the specific year in which a permanent award or honor was formally granted or established.
-
D.
awardGivenAt
Indicates that an award was conferred at a specific event, location, or occasion.
-
E.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: May 3, 2026, 3:59 p.m.