Triple
T7440198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Kistiakowsky |
E171729
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | woman in science advocate |
C98
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: woman in science advocate Context triple: [Vera Kistiakowsky, instanceOf, woman in science advocate]
-
A.
woman engineer
A woman engineer is a professional who applies scientific, mathematical, and technical principles to design, develop, and improve systems, structures, or products, while also contributing to diversity and inclusion within engineering fields.
-
B.
library scientist
A library scientist is an information professional who organizes, manages, and curates collections and data systems to ensure efficient access, preservation, and use of knowledge resources.
-
C.
woman philosopher
A woman philosopher is a female-identifying thinker who systematically explores fundamental questions about existence, knowledge, values, reason, and language, often challenging historical biases and expanding philosophical discourse.
-
D.
first woman
The "first woman" represents the earliest female figure in a given context—mythological, historical, or symbolic—often associated with origins, creation, and the beginning of human or societal lineage.
-
E.
science communicator
chosen
A science communicator is a professional who translates complex scientific concepts into clear, engaging, and accurate information for non-expert audiences across various media.
- F. None of above.
Provenance (1 batch)
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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
Created at: March 27, 2026, 3:13 p.m.