Triple
T21726932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasim Akram |
E536297
|
entity |
| Predicate | battingRunsInTests |
P64185
|
FINISHED |
| Object | 2898 |
—
|
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: 2898 | Statement: [Wasim Akram, battingRunsInTests, 2898]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingRunsInTests Context triple: [Wasim Akram, battingRunsInTests, 2898]
-
A.
bowlingAverageInTests
Indicates the bowling average a player has achieved in Test cricket matches.
-
B.
battedRunsScored
Indicates the number of runs a player scores as a direct result of their own batting actions.
-
C.
battedRuns
chosen
Indicates that a player scored a specified number of runs while batting in a cricket (or similar bat-and-ball) context.
-
D.
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.
-
E.
leadingRunScorer
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.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.