Triple
T18569899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Warne |
E453846
|
entity |
| Predicate | firstClassWickets |
P132601
|
FINISHED |
| Object | 1319 |
—
|
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: 1319 | Statement: [Shane Warne, firstClassWickets, 1319]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstClassWickets Context triple: [Shane Warne, firstClassWickets, 1319]
-
A.
firstClassRunsScored
Indicates the number of runs a player has scored in first-class cricket matches.
-
B.
mostWickets
Indicates that the subject holds the record for taking the highest number of wickets in a given cricket context or competition.
-
C.
mostWicketsTakenBy
Indicates the bowler who has taken the highest number of wickets in a given match, series, tournament, or time period.
-
D.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
-
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. 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_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. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.