Triple
T3489656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Stengel |
E73693
|
entity |
| Predicate | worldSeriesTitleAsPlayerYear |
P48692
|
FINISHED |
| Object | 1922 |
—
|
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: 1922 | Statement: [Casey Stengel, worldSeriesTitleAsPlayerYear, 1922]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesTitleAsPlayerYear Context triple: [Casey Stengel, worldSeriesTitleAsPlayerYear, 1922]
-
A.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
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.
WorldSeriesTitleWith
Indicates a relationship where two or more entities share a World Series championship title together in the same year or on the same team.
-
E.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
- F. None of above. chosen
Provenance (4 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb055ed2481908171effe28151cf9 |
completed | March 8, 2026, 5:22 p.m. |
Created at: March 8, 2026, 3:18 p.m.