Triple
T22455725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Mack |
E555110
|
entity |
| Predicate | managedWinsRecord |
P93718
|
FINISHED |
| Object | most managerial wins in Major League Baseball history |
—
|
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: most managerial wins in Major League Baseball history | Statement: [Connie Mack, managedWinsRecord, most managerial wins in Major League Baseball history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedWinsRecord Context triple: [Connie Mack, managedWinsRecord, most managerial wins in Major League Baseball history]
-
A.
managerialRecordWins
chosen
Indicates the number of wins credited to an individual in their role as a manager or head coach.
-
B.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
-
C.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
D.
mostOverallWinsHolder
Indicates that the subject is the entity holding the highest total number of wins overall, compared to all other relevant entities.
-
E.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4f19708190a50f29598fb1a204 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.