Triple
T659097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Pujols |
E11713
|
entity |
| Predicate | reached600HomeRuns |
P18153
|
FINISHED |
| Object | 2017-06-03 |
—
|
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: 2017-06-03 | Statement: [Albert Pujols, reached600HomeRuns, 2017-06-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reached600HomeRuns Context triple: [Albert Pujols, reached600HomeRuns, 2017-06-03]
-
A.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
B.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
C.
winningHomeRunHitter
Indicates the player who hit the home run that ultimately decided the victory for their team in a game.
-
D.
ledLeagueInHomeRuns
Indicates that the subject achieved the highest number of home runs in a particular league over a specified season or time period.
-
E.
babeRuthRole
Indicates that one entity serves in the specific role or capacity associated with Babe Ruth (e.g., as a legendary baseball player or iconic sports figure) in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d1406ec8190abf546549264c85d |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a4a0f405748190ba72a9cfe946a8ec |
completed | March 1, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:36 p.m.