Triple
T900347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Maddon |
E19431
|
entity |
| Predicate | wonWorldSeriesAsCoach |
P11323
|
FINISHED |
| Object | Anaheim Angels, 2002 |
—
|
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: Anaheim Angels, 2002 | Statement: [Joe Maddon, wonWorldSeriesAsCoach, Anaheim Angels, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldSeriesAsCoach Context triple: [Joe Maddon, wonWorldSeriesAsCoach, Anaheim Angels, 2002]
-
A.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
B.
worldSeriesTitlesAsManager
chosen
Indicates the number of World Series championships an individual has won specifically in the role of a team manager.
-
C.
championCoachFormerMLBTeam
Indicates that the coach led a former Major League Baseball team to a championship title.
-
D.
wonSuperBowlAsHeadCoachWith
Indicates that one entity served as the head coach of a team that won the Super Bowl with the other entity (the team) during that championship season.
-
E.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.