Triple
T9535866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe McCarthy |
E230012
|
entity |
| Predicate | worldSeriesTitleYearsWithYankees |
P46478
|
FINISHED |
| Object | 1932 |
—
|
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: 1932 | Statement: [Joe McCarthy, worldSeriesTitleYearsWithYankees, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesTitleYearsWithYankees Context triple: [Joe McCarthy, worldSeriesTitleYearsWithYankees, 1932]
-
A.
YankeesConsecutiveTitles
Indicates that the New York Yankees won championship titles in consecutive seasons.
-
B.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
C.
worldSeriesTitlesThroughYear
Indicates the number of World Series titles an entity has won up to and including a specified year.
-
D.
WorldSeriesChampionYears
chosen
Indicates the years in which a given team (or entity) won the World Series championship.
-
E.
YankeesPreviousTitle
Indicates that the subject entity is the immediately preceding championship title held by the New York Yankees before the object entity.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cd6a5c8190835c0910ec38ede3 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.