Triple
T16005225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Garfield St Aubrun Sobers |
E388199
|
entity |
| Predicate | testCapNumberForWestIndies |
P120733
|
FINISHED |
| Object | 84 |
—
|
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: 84 | Statement: [Sir Garfield St Aubrun Sobers, testCapNumberForWestIndies, 84]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testCapNumberForWestIndies Context triple: [Sir Garfield St Aubrun Sobers, testCapNumberForWestIndies, 84]
-
A.
testWickets
Indicates the number of wickets a bowler takes (or is credited with) in a particular test cricket match or innings.
-
B.
captainODI
Indicates that the subject serves as the captain of the object’s team in One Day International (ODI) cricket matches.
-
C.
hasNationalCricketTeam
Indicates that a country possesses an officially recognized national cricket team.
-
D.
cricketWorldCupAppearances
Indicates the number of times an entity has participated in the Cricket World Cup tournament.
-
E.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.