Triple
T21783366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan T. Waterman Award |
E537771
|
entity |
| Predicate | careerStageFocus |
P43181
|
FINISHED |
| Object | early-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: early-career | Statement: [Alan T. Waterman Award, careerStageFocus, early-career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStageFocus Context triple: [Alan T. Waterman Award, careerStageFocus, early-career]
-
A.
documentsCareerStage
Indicates that something records or specifies the career stage or professional phase of an entity.
-
B.
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.
-
C.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
D.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
E.
careerPath
Indicates the progression or sequence of roles, positions, or occupations that an individual follows over time in their professional life.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462ed0ec81908833e18c164e8b5c |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.