Triple
T3840322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Cabrera |
E93433
|
entity |
| Predicate | homeRunsMilestone |
P7536
|
FINISHED |
| Object | 500 career home runs |
—
|
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: 500 career home runs | Statement: [Miguel Cabrera, homeRunsMilestone, 500 career home runs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRunsMilestone Context triple: [Miguel Cabrera, homeRunsMilestone, 500 career home runs]
-
A.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
B.
homeRunRecordSurpassedBy
Indicates that one entity’s home run record has been exceeded or broken by another entity.
-
C.
careerHomeRuns
chosen
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.
reached600HomeRuns
Indicates that an entity has achieved a career total of at least 600 home runs.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.