Triple
T15262948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jermaine Dye |
E364830
|
entity |
| Predicate | RBIsIn2006Season |
P17269
|
FINISHED |
| Object | 120 |
—
|
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: 120 | Statement: [Jermaine Dye, RBIsIn2006Season, 120]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RBIsIn2006Season Context triple: [Jermaine Dye, RBIsIn2006Season, 120]
-
A.
careerRBIs
Indicates the total number of runs a player has batted in over the course of their entire career.
-
B.
singleSeasonRBIs
Indicates the number of runs batted in (RBIs) a player recorded during a single baseball season.
-
C.
singleSeasonRBIsYear
chosen
Indicates the number of runs batted in a player recorded during a single baseball season in a given year.
-
D.
clinchingHomeRunRunsBattedIn
Indicates that a particular home run both clinches a game or series and accounts for specific runs batted in (RBIs) scored by the batter.
-
E.
ledLeagueInRBIs
Indicates that the subject had the highest number of runs batted in (RBIs) in a particular league over a specified season or time period.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.