Triple
T27245329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenny Dykstra |
E687325
|
entity |
| Predicate | ledLeagueInRunsScored |
P66339
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Lenny Dykstra, ledLeagueInRunsScored, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledLeagueInRunsScored Context triple: [Lenny Dykstra, ledLeagueInRunsScored, 1993]
-
A.
topRunScorerRuns
Indicates the number of runs scored by the highest run-scorer in a given match, series, or tournament.
-
B.
totalRunsScored
Indicates the total number of runs that have been scored by a specified entity (such as a player or team) over a defined context or period.
-
C.
leadingRunScorer
chosen
Indicates that the subject is the player who has scored the most runs (the top run-scorer) in a given match, series, tournament, or season.
-
D.
NationalLeagueRuns
Indicates the number of runs scored by a team or player in National League baseball games.
-
E.
ODIRunsScored
Indicates the number of runs a player has scored in One Day International (ODI) cricket matches.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62680e24c8190aa28313ae86b85a0 |
completed | May 2, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 10:41 a.m.