Triple
T22502245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oswaldo Guillén |
E556301
|
entity |
| Predicate | WorldSeriesTitleCountAsManager |
P11323
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Oswaldo Guillén, WorldSeriesTitleCountAsManager, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesTitleCountAsManager Context triple: [Oswaldo Guillén, WorldSeriesTitleCountAsManager, 1]
-
A.
worldSeriesTitlesAsManager
chosen
Indicates the number of World Series championships an individual has won specifically in the role of a team manager.
-
B.
worldSeriesTitleCount
Indicates the number of World Series championships an entity (typically a baseball team or player) has won.
-
C.
worldSeriesAppearancesAsManager
Indicates the number of times an individual has appeared in the World Series specifically in the role of a team manager.
-
D.
WorldSeriesChampionAsManagerWithTeam
Indicates that a person has won the World Series as a manager while managing the specified team.
-
E.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb6b47481909855fe93e95da7e7 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.