Triple
T27791440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Maltais |
E701090
|
entity |
| Predicate | playedMajorityOfCareerIn |
P80842
|
FINISHED |
| Object | minor professional leagues |
—
|
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: minor professional leagues | Statement: [Steve Maltais, playedMajorityOfCareerIn, minor professional leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedMajorityOfCareerIn Context triple: [Steve Maltais, playedMajorityOfCareerIn, minor professional leagues]
-
A.
playedInMajorLeague
Indicates that an entity has participated as a player in a major professional sports league.
-
B.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
C.
spentMostOfCareerIn
chosen
Indicates that an individual devoted the majority of their professional working life to being in or associated with a particular place, organization, or context.
-
D.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
E.
spentEntireMLBCareerWith
Indicates that a player spent their entire Major League Baseball career with a single team.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 5:28 p.m.