Triple
T102171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Yastrzemski |
E2061
|
entity |
| Predicate | careerRunsScored |
P7539
|
FINISHED |
| Object | 1816 |
—
|
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: 1816 | Statement: [Carl Yastrzemski, careerRunsScored, 1816]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerRunsScored Context triple: [Carl Yastrzemski, careerRunsScored, 1816]
-
A.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
-
B.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
C.
hasAllStarGame
Indicates that an entity has participated in, hosted, or is otherwise associated with an All-Star Game event.
-
D.
championshipDroughtLengthYears
Indicates the number of years that have elapsed since an entity last won a championship.
-
E.
retiredNumbersCount
Indicates the number of jersey or identification numbers that have been officially retired from use.
- F. None of above. chosen
Provenance (4 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.