Triple
T18569898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Warne |
E453846
|
entity |
| Predicate | bestOdiBowlingInInnings |
P57816
|
FINISHED |
| Object | 5/33 |
—
|
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: 5/33 | Statement: [Shane Warne, bestOdiBowlingInInnings, 5/33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOdiBowlingInInnings Context triple: [Shane Warne, bestOdiBowlingInInnings, 5/33]
-
A.
bestBowlingInInningsODI
chosen
Indicates the record or achievement of a bowler delivering their most effective single-innings bowling performance in a One Day International (ODI) match.
-
B.
highestOdiScore
Indicates that the subject has achieved the highest individual ODI (One Day International) cricket score among the compared entities.
-
C.
mostWickets
Indicates that the subject holds the record for taking the highest number of wickets in a given cricket context or competition.
-
D.
mostWicketsTakenBy
Indicates the bowler who has taken the highest number of wickets in a given match, series, tournament, or time period.
-
E.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b01331c8190bec3aba40358a843 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.