Triple
T6568491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davey Johnson |
E153972
|
entity |
| Predicate | WorldSeriesChampionAsPlayerYear |
P48692
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Davey Johnson, WorldSeriesChampionAsPlayerYear, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesChampionAsPlayerYear Context triple: [Davey Johnson, WorldSeriesChampionAsPlayerYear, 1966]
-
A.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
B.
worldSeriesTitleAsPlayerYear
chosen
Indicates the specific year in which an individual, in their role as a player, won a World Series title.
-
C.
worldSeriesAppearancesAsPlayer
Indicates the number of times an individual has appeared as a player in World Series games.
-
D.
WorldSeriesChampionYears
Indicates the years in which a given team (or entity) won the World Series championship.
-
E.
playedInWorldSeriesWith
Indicates that two or more players were teammates in at least one 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.