Triple
T936606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McGraw |
E20209
|
entity |
| Predicate | worldSeriesChampionYearsAsManager |
P21794
|
FINISHED |
| Object | 1905 |
—
|
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: 1905 | Statement: [John McGraw, worldSeriesChampionYearsAsManager, 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesChampionYearsAsManager Context triple: [John McGraw, worldSeriesChampionYearsAsManager, 1905]
-
A.
worldSeriesTitlesAsManager
Indicates the number of World Series championships an individual has won specifically in the role of a team manager.
-
B.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
C.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
-
D.
YankeesManager
Indicates that one entity serves as the manager (head coach) of the New York Yankees baseball team.
-
E.
championCoachFormerMLBTeam
Indicates that the coach led a former Major League Baseball team to a championship title.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3668a3c8190b0152166efa93ee1 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.