Triple
T4473402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan Ryan |
E98547
|
entity |
| Predicate | careerStrikeoutsMLB |
P8295
|
FINISHED |
| Object | 5714 |
—
|
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: 5714 | Statement: [Nolan Ryan, careerStrikeoutsMLB, 5714]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStrikeoutsMLB Context triple: [Nolan Ryan, careerStrikeoutsMLB, 5714]
-
A.
careerStrikeouts
chosen
Indicates the total number of batters a pitcher has struck out over the course of their entire professional career.
-
B.
strikeoutsLeader
Indicates that the subject is the player or entity leading others in the number of strikeouts over a specified period or context.
-
C.
positionPlayedInBaseball
Indicates the specific defensive role or fielding position that a person plays in a game of baseball.
-
D.
careerInningsPitched
Indicates the total number of innings a player has pitched over the course of their entire career.
-
E.
notablePitcher
Indicates that the subject is recognized as a distinguished or prominent pitcher in the context of baseball.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.