Triple
T17960522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashim Amla |
E449067
|
entity |
| Predicate | shirtNumberODI |
P129901
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Hashim Amla, shirtNumberODI, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shirtNumberODI Context triple: [Hashim Amla, shirtNumberODI, 1]
-
A.
captainODI
Indicates that the subject serves as the captain of the object’s team in One Day International (ODI) cricket matches.
-
B.
representedCountryInODI
Indicates that one entity has played One Day International (ODI) cricket as a representative of the specified country.
-
C.
shirtNumberTradition
Indicates a conventional or historically established assignment or significance of a particular shirt number within a team or sport.
-
D.
shirtNumberType
Indicates the type or category of a shirt number assigned to an entity (for example, a player’s jersey number type).
-
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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.