Triple
T27084963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Pilots |
E686011
|
entity |
| Predicate | notableAllStar |
P9730
|
FINISHED |
| Object | Don Mincher |
—
|
NE NERFINISHED |
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: Don Mincher | Statement: [Seattle Pilots, notableAllStar, Don Mincher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAllStar Context triple: [Seattle Pilots, notableAllStar, Don Mincher]
-
A.
notableAthlete
Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
-
B.
notableMultipleTimeAllStars
Indicates that the subject has been selected as an All-Star multiple times and is notably recognized for this repeated achievement.
-
C.
hasNotablePlayer
chosen
Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
-
D.
notableCharacterSport
Indicates that a notable character is associated with, participates in, or is prominently linked to a particular sport.
-
E.
notableMLBAlumni
Indicates that the subject has alumni who went on to play Major League Baseball and are considered notable.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
Created at: April 27, 2026, 8:37 a.m.