Triple
T12173790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Oleksiak |
E290037
|
entity |
| Predicate | yearAwardedBobbieRosenfeldAward |
P8111
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Penny Oleksiak, yearAwardedBobbieRosenfeldAward, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAwardedBobbieRosenfeldAward Context triple: [Penny Oleksiak, yearAwardedBobbieRosenfeldAward, 2016]
-
A.
TonightTonightAwardYear
Indicates the year in which a specific Tonight Tonight Award was given or is associated with.
-
B.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
C.
yearAwardEstablishedInHisHonor
Indicates the year in which an award was first established in honor of a particular person.
-
D.
cyYoungAward
Indicates that a player received the Cy Young Award for being the best pitcher in a given baseball season.
-
E.
yearOfFinalAward
Indicates the specific calendar year in which the final instance of an award was given or conferred.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.