Triple
T30924979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Oglivie |
E787831
|
entity |
| Predicate | seasonHomeRunLeader |
P41032
|
FINISHED |
| Object | 1980 American League |
—
|
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: 1980 American League | Statement: [Ben Oglivie, seasonHomeRunLeader, 1980 American League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonHomeRunLeader Context triple: [Ben Oglivie, seasonHomeRunLeader, 1980 American League]
-
A.
homeRunLeaderSeasons
chosen
Indicates the seasons in which a given player led a league or competition in home runs.
-
B.
homeRunLeaders
Indicates the relationship where certain players are identified as having the highest number of home runs, typically within a given league, season, or time span.
-
C.
homeRunLeaderYear
Indicates the year in which a given player led a specified league or competition in home runs.
-
D.
homeRunSeason
Indicates that an entity (typically a player) hit a specified number of home runs during a particular season.
-
E.
singleSeasonHomeRuns
Indicates the number of home runs a player hit during a single baseball season.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 29, 2026, 8:51 p.m.