Triple
T2119574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shalin Zulkifli |
E43886
|
entity |
| Predicate | hasCareerStatus |
P24370
|
FINISHED |
| Object | elite-level bowler |
—
|
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: elite-level bowler | Statement: [Shalin Zulkifli, hasCareerStatus, elite-level bowler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerStatus Context triple: [Shalin Zulkifli, hasCareerStatus, elite-level bowler]
-
A.
careerStatus
chosen
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
B.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
C.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
D.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
E.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb32efb48190bcb99f30787a3a55 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.