Triple
T30222444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Medal in Bronze |
E768384
|
entity |
| Predicate | typicalRecipientCareerStage |
P43181
|
FINISHED |
| Object | early-career statistician |
—
|
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: early-career statistician | Statement: [Guy Medal in Bronze, typicalRecipientCareerStage, early-career statistician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRecipientCareerStage Context triple: [Guy Medal in Bronze, typicalRecipientCareerStage, early-career statistician]
-
A.
supportsCareerStage
chosen
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
-
B.
documentsCareerStage
Indicates that something records or specifies the career stage or professional phase of an entity.
-
C.
depictsCareerStage
Indicates that one entity visually represents or portrays a particular stage or phase in another entity’s career or professional development.
-
D.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
E.
influencedCareerStageOf
Indicates that one entity had an effect on the development, direction, or progression of another entity’s career at a particular stage.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:35 p.m.