Triple
T5992514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Lincecum |
E133383
|
entity |
| Predicate | CyYoungAwardCount |
P10323
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Tim Lincecum, CyYoungAwardCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CyYoungAwardCount Context triple: [Tim Lincecum, CyYoungAwardCount, 2]
-
A.
CyYoungAwardWinner
Indicates that the subject has been awarded the Cy Young Award as the most outstanding pitcher in a given Major League Baseball season.
-
B.
CyYoungAwards
chosen
Indicates that a player has received one or more Cy Young Awards, recognizing them as the best pitcher in a given Major League Baseball season.
-
C.
CyYoungAwardYear
Indicates the specific year in which a given player received the Cy Young Award.
-
D.
CyYoungAwardLeague
Indicates the league (e.g., American or National) in which a given Cy Young Award was awarded.
-
E.
CyYoungRole
Indicates that an entity holds the role or status associated with winning or being awarded the Cy Young (e.g., as a Cy Young-winning pitcher).
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e9189908190abc9c742b38dfabc |
completed | March 22, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.