Triple
T856222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony La Russa |
E18496
|
entity |
| Predicate | rankByManagerialWins |
P20662
|
FINISHED |
| Object | second all-time at time of retirement in 2011 |
—
|
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: second all-time at time of retirement in 2011 | Statement: [Tony La Russa, rankByManagerialWins, second all-time at time of retirement in 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByManagerialWins Context triple: [Tony La Russa, rankByManagerialWins, second all-time at time of retirement in 2011]
-
A.
winningManagerTeam
Indicates that the specified manager is the head coach/manager of the team that won a particular game, match, or competition.
-
B.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
C.
mostOverallWinsHolder
Indicates that the subject is the entity holding the highest total number of wins overall, compared to all other relevant entities.
-
D.
managerWinningTeam
Indicates that the subject is the manager or coach of the team that won a particular competition or match.
-
E.
managerOfLeaguePennant
Indicates that a person serves as the manager of the team that won a particular league pennant.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3c172481908ed164ee1579ec28 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4893e481908632102d240466dc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.