Triple
T24305684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League 1902 season |
E612527
|
entity |
| Predicate | pennantWinningManager |
P2601
|
FINISHED |
| Object | Connie Mack |
—
|
NE NERFINISHED |
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: Connie Mack | Statement: [American League 1902 season, pennantWinningManager, Connie Mack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pennantWinningManager Context triple: [American League 1902 season, pennantWinningManager, Connie Mack]
-
A.
pennantsWonAsManager
Indicates the number of league pennants a person has won in their role as a team manager.
-
B.
pennantWonAsManagerYear
Indicates the year in which a person, acting as a manager, led a team to win a league pennant.
-
C.
managerOfLeaguePennant
chosen
Indicates that a person serves as the manager of the team that won a particular league pennant.
-
D.
WorldSeriesChampionAsManagerWithTeam
Indicates that a person has won the World Series as a manager while managing the specified team.
-
E.
worldSeriesChampionYearsAsManager
Indicates the years in which a person, acting as a manager, led a team to win 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922641bc81908fa3595941e60741 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:30 a.m.