Triple
T5135476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Donald |
E115808
|
entity |
| Predicate | APDefensivePlayerOfTheYearAward |
P31046
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Aaron Donald, APDefensivePlayerOfTheYearAward, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: APDefensivePlayerOfTheYearAward Context triple: [Aaron Donald, APDefensivePlayerOfTheYearAward, 2017]
-
A.
defensivePlayerOfTheYear
chosen
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
-
B.
NBAAllDefensivePlayerOfTheYearAwards
Indicates that the subject has received the NBA Defensive Player of the Year award a specified number of times.
-
C.
APNFLOffensivePlayerOfTheYear
Indicates that an entity was selected as the Associated Press NFL Offensive Player of the Year for a given season.
-
D.
numberOfDefensivePlayerOfTheYearAwards
Indicates the count of times an entity has received the Defensive Player of the Year award.
-
E.
defensiveRookieOfTheYear
Indicates that the subject was awarded the Defensive Rookie of the Year honor in a given league or competition.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.