Triple
T25207044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Faulkner took 3 wickets for 36 runs |
E631280
|
entity |
| Predicate | dismissedBatsman |
P158032
|
FINISHED |
| Object | Grant Elliott |
—
|
NE NERFINISHED |
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: Grant Elliott | Statement: [James Faulkner took 3 wickets for 36 runs, dismissedBatsman, Grant Elliott]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dismissedBatsman Context triple: [James Faulkner took 3 wickets for 36 runs, dismissedBatsman, Grant Elliott]
-
A.
dismissedBatsman
chosen
Indicates that one player is responsible for getting another batsman out (dismissed) in a game of cricket.
-
B.
lastPakistanBatsmanDismissed
Indicates that the referenced batsman is the most recently dismissed player from the Pakistan team in the innings or match.
-
C.
battedBehind
Indicates that one participant took their turn to bat after another participant in a batting order.
-
D.
wicketsTaken
Indicates the number of wickets a bowler has successfully taken (dismissed batters) in a cricket match or over a specified period.
-
E.
battedBy
Indicates that an entity is the one who performed the batting action on another entity (e.g., a ball being batted by a player).
- 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_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_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 12:52 p.m.