Triple
T5373864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Maddon |
E108913
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maddon |
E108913
|
NE 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: Maddon | Statement: [Joe Maddon, familyName, Maddon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddon Context triple: [Joe Maddon, familyName, Maddon]
-
A.
Maddon
chosen
Maddon is the surname of Joe Maddon, a prominent American Major League Baseball manager best known for leading the Chicago Cubs to their 2016 World Series title.
-
B.
Grady Little
Grady Little is an American former Major League Baseball manager best known for his controversial handling of the Boston Red Sox pitching staff during the 2003 postseason.
-
C.
Francona
Francona is a surname most prominently associated with American baseball figures Tito (Terry) Francona and his father John Francona.
-
D.
Gary Moeller
Gary Moeller was an American football coach best known for leading the University of Michigan Wolverines in the early 1990s after serving as a longtime assistant under Bo Schembechler.
-
E.
Bart Andrus
Bart Andrus is an American football coach best known for his work in NFL Europe and various professional and collegiate coaching roles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86ad820081908763765dcbc99cbf |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293ba6a08190bcbecf465e4e5881 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:03 p.m.