Triple
T7821618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Faber |
E181141
|
entity |
| Predicate | playedEntireMLBCareerForOneTeam |
P14859
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Red Faber, playedEntireMLBCareerForOneTeam, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedEntireMLBCareerForOneTeam Context triple: [Red Faber, playedEntireMLBCareerForOneTeam, true]
-
A.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
B.
spentEntireMLBCareerWith
chosen
Indicates that a player spent their entire Major League Baseball career with a single team.
-
C.
playedBaseball
Indicates that an entity participated in playing the sport of baseball, typically as a player in a game or activity.
-
D.
brokeIntoMLBWith
Indicates the relationship where a person began their Major League Baseball career with a specific team.
-
E.
joinedMLBIn
Indicates the time or context in which an individual became a member of, or started playing in, Major League Baseball.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa083fe88190a77efb7cfee4bd6f |
completed | March 30, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:41 p.m.