Triple
T23210467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Duke of Tralee |
E580577
|
entity |
| Predicate | hasCareerRunsBattedIn |
P151370
|
FINISHED |
| Object | 530 |
—
|
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: 530 | Statement: [The Duke of Tralee, hasCareerRunsBattedIn, 530]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerRunsBattedIn Context triple: [The Duke of Tralee, hasCareerRunsBattedIn, 530]
-
A.
battedRunsScored
Indicates the number of runs a player scores as a direct result of their own batting actions.
-
B.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
-
C.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
D.
battedInLeague
Indicates that an entity (typically a player) participated as a batter in a specified baseball league.
-
E.
battedRuns
Indicates that a player scored a specified number of runs while batting in a cricket (or similar bat-and-ball) context.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191614bc4819080938752d843dcc6 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:07 p.m.