Triple
T3929708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusty Baker |
E93365
|
entity |
| Predicate | wonWorldSeriesAsPlayerYear |
P48692
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [Dusty Baker, wonWorldSeriesAsPlayerYear, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldSeriesAsPlayerYear Context triple: [Dusty Baker, wonWorldSeriesAsPlayerYear, 1981]
-
A.
worldSeriesTitleAsPlayerYear
chosen
Indicates the specific year in which an individual, in their role as a player, won a World Series title.
-
B.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
C.
worldSeriesAppearancesAsPlayer
Indicates the number of times an individual has appeared as a player in World Series games.
-
D.
wonWorldSeriesWithTeam
Indicates that a person achieved a World Series championship as a member of a specified team.
-
E.
managedInWorldSeries
Indicates that a person served as a manager for a team participating in a World Series.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.