Triple
T16964592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Schoendienst |
E411509
|
entity |
| Predicate | WorldSeriesTitleAsPlayerYear |
P48692
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [Red Schoendienst, WorldSeriesTitleAsPlayerYear, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesTitleAsPlayerYear Context triple: [Red Schoendienst, WorldSeriesTitleAsPlayerYear, 1957]
-
A.
worldSeriesTitleAsPlayerYear
chosen
Indicates the specific year in which an individual, in their role as a player, won a World Series title.
-
B.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
C.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
D.
worldSeriesTitlesThroughYear
Indicates the number of World Series titles an entity has won up to and including a specified year.
-
E.
WorldSeriesChampionYears
Indicates the years in which a given team (or entity) won the World Series championship.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e32b9cddf88190bc42709604047353 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.