Triple
T19968232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Gonzalez |
E479998
|
entity |
| Predicate | MLSDefenderOfTheYearAward |
P31046
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Omar Gonzalez, MLSDefenderOfTheYearAward, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MLSDefenderOfTheYearAward Context triple: [Omar Gonzalez, MLSDefenderOfTheYearAward, 2011]
-
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.
ManagerOfTheYearAward
Indicates that an entity has received the "Manager of the Year" award in recognition of outstanding managerial performance.
-
C.
mostValuablePlayerAward
Indicates that an entity has received a "Most Valuable Player" award recognizing it as the most outstanding performer in a particular context or competition.
-
D.
playerOfTheMatch
Indicates that the subject was recognized as the standout performer (best player) in a particular match.
-
E.
nationalPlayerOfTheYearAward
Indicates that an athlete has been selected as the top national player of the year in their sport or league.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.