Triple
T13632991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparky Anderson |
E325772
|
entity |
| Predicate | managedLeaguePennant |
P2601
|
FINISHED |
| Object | 1970 National League pennant |
—
|
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: 1970 National League pennant | Statement: [Sparky Anderson, managedLeaguePennant, 1970 National League pennant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedLeaguePennant Context triple: [Sparky Anderson, managedLeaguePennant, 1970 National League pennant]
-
A.
leaguePennant
Indicates that a team has won the championship pennant for a particular league or season.
-
B.
runnerUpLeaguePennantWinner
Indicates that a team finished second in its league while another team won the league pennant.
-
C.
managerOfLeaguePennant
chosen
Indicates that a person serves as the manager of the team that won a particular league pennant.
-
D.
leaguePennantWon
Indicates that a team has won the championship pennant of a particular sports league.
-
E.
leaguePennants
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.