Triple
T23548155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Fraser |
E577960
|
entity |
| Predicate | hasCareerStage |
P152757
|
FINISHED |
| Object | playing career |
—
|
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: playing career | Statement: [Robin Fraser, hasCareerStage, playing career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerStage Context triple: [Robin Fraser, hasCareerStage, playing career]
-
A.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
B.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
C.
supportsCareerStage
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
-
D.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
E.
hasCareerService
Indicates that an entity provides or is associated with a career-related support or advisory service for another entity.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecc2af08190aec07cf9126d4e72 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:11 p.m.