Triple
T14893927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Snitker |
E359819
|
entity |
| Predicate | yearOfAwardNationalLeagueManagerOfTheYear |
P87272
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Brian Snitker, yearOfAwardNationalLeagueManagerOfTheYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfAwardNationalLeagueManagerOfTheYear Context triple: [Brian Snitker, yearOfAwardNationalLeagueManagerOfTheYear, 2018]
-
A.
yearOfNationalLeagueManagerOfTheYearAward
chosen
Indicates the specific year in which an individual received the National League Manager of the Year award.
-
B.
managerOfTheYearAwards
Indicates that an entity has received one or more "Manager of the Year" awards recognizing outstanding managerial performance.
-
C.
ManagerOfTheYearAward
Indicates that an entity has received the "Manager of the Year" award in recognition of outstanding managerial performance.
-
D.
manOfTheMatchAwardingBody
Indicates the organization or authority that grants or designates a particular man-of-the-match award.
-
E.
leagueChampionshipWonAsManager
Indicates that the person has won a league championship in the role of a manager for the specified team or organization.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:10 a.m.