Triple
T23980834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 Major League Baseball season |
E604501
|
entity |
| Predicate | RookieOfTheYear_NL |
P38562
|
FINISHED |
| Object | Dontrelle Willis |
—
|
NE NERFINISHED |
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: Dontrelle Willis | Statement: [2003 Major League Baseball season, RookieOfTheYear_NL, Dontrelle Willis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RookieOfTheYear_NL Context triple: [2003 Major League Baseball season, RookieOfTheYear_NL, Dontrelle Willis]
-
A.
RookieOfTheYearYear
chosen
Indicates that the specified year is the season in which the entity was awarded the Rookie of the Year honor.
-
B.
rookieOfTheYearLeague
Indicates that an entity was awarded the Rookie of the Year title in a specified sports league.
-
C.
RookieOfTheYearWinner
Indicates that the subject is the recipient of a Rookie of the Year award in a given league, season, or context.
-
D.
rookieOfTheYearTrophy
Indicates that an entity has been awarded the Rookie of the Year trophy in a particular league, season, or competition.
-
E.
rookieOfTheYearOnTeam
Indicates that an entity was selected as the Rookie of the Year while playing for a specified team.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bd58448190a64e7a9020109229 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:27 p.m.