Triple
T25207036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Faulkner took 3 wickets for 36 runs |
E631280
|
entity |
| Predicate | wicketsTaken |
P158031
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [James Faulkner took 3 wickets for 36 runs, wicketsTaken, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wicketsTaken Context triple: [James Faulkner took 3 wickets for 36 runs, wicketsTaken, 3]
-
A.
mostWicketsTakenBy
Indicates the bowler who has taken the highest number of wickets in a given match, series, tournament, or time period.
-
B.
mostWickets
Indicates that the subject holds the record for taking the highest number of wickets in a given cricket context or competition.
-
C.
worldCupWickets
Indicates the number of wickets a bowler has taken in Cricket World Cup matches.
-
D.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
-
E.
tookFiveWicketsInInnings
Indicates that a bowler dismissed five batsmen in a single innings of a cricket match.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474bce13c8190bcdd22cdd70490b5 |
completed | May 1, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 12:52 p.m.