Triple
T34124148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gregan |
E875227
|
entity |
| Predicate | numberOfTestCapsForAustralia |
P57796
|
FINISHED |
| Object | 139 |
—
|
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: 139 | Statement: [George Gregan, numberOfTestCapsForAustralia, 139]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTestCapsForAustralia Context triple: [George Gregan, numberOfTestCapsForAustralia, 139]
-
A.
numberOfTestCaps
chosen
Indicates the number of times an individual has appeared in test matches (test caps) for a team or organization.
-
B.
numberOfTestsAsCaptain
Indicates the total count of test matches in which an entity served in the role of captain.
-
C.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
D.
testCapNumberForSouthAfrica
Indicates that an entity’s telephone number is being checked to determine whether it is a valid South African number.
-
E.
testCapNumberForEngland
Indicates that an entity’s cap number is being checked or validated specifically for England.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:53 a.m.