Triple
T6679217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Thome |
E151934
|
entity |
| Predicate | homeRunRankAllTime |
P71700
|
FINISHED |
| Object | one of the highest totals in MLB history |
—
|
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: one of the highest totals in MLB history | Statement: [Jim Thome, homeRunRankAllTime, one of the highest totals in MLB history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRunRankAllTime Context triple: [Jim Thome, homeRunRankAllTime, one of the highest totals in MLB history]
-
A.
homeRunLeaderSeasons
Indicates the seasons in which a given player led a league or competition in home runs.
-
B.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
C.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
D.
homeRunSeason
Indicates that an entity (typically a player) hit a specified number of home runs during a particular season.
-
E.
HomeRunDerbyTitles
Indicates the number of Home Run Derby titles an entity has won in competitive baseball home run hitting contests.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6c0a90a088190978061cb05dbe268 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 2:03 p.m.