Triple
T11306555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Ethier |
E267727
|
entity |
| Predicate | playedEntireMLBCareerForOneFranchise |
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: [Andre Ethier, playedEntireMLBCareerForOneFranchise, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedEntireMLBCareerForOneFranchise Context triple: [Andre Ethier, playedEntireMLBCareerForOneFranchise, 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.
worldSeriesAppearancesAsPlayer
Indicates the number of times an individual has appeared as a player in World Series games.
-
D.
playedBaseball
Indicates that an entity participated in playing the sport of baseball, typically as a player in a game or activity.
-
E.
numberOfGamesPlayedInMLB
Indicates the total count of games an entity has participated in within 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a7255c81909675fe9ad6d71934 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.