Triple
T4645627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Genetics, Academy of Sciences of the USSR |
E101764
|
entity |
| Predicate | focusDuringLysenkoism |
P58884
|
FINISHED |
| Object | Michurinist biology |
—
|
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: Michurinist biology | Statement: [Institute of Genetics, Academy of Sciences of the USSR, focusDuringLysenkoism, Michurinist biology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusDuringLysenkoism Context triple: [Institute of Genetics, Academy of Sciences of the USSR, focusDuringLysenkoism, Michurinist biology]
-
A.
positionOnEugenics
Indicates a stance or viewpoint an entity holds regarding the principles, practices, or policies of eugenics.
-
B.
viewOnStalin
Indicates the stance, opinion, or perspective that one entity holds regarding Stalin.
-
C.
statusInSovietUnion
Indicates the legal, social, or political standing an entity held within the Soviet Union.
-
D.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
E.
sharesSovietLegacyWith
Indicates that two entities have a common historical, political, or cultural background rooted in the former Soviet Union.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd663092cc81909308f89ee1a417e4 |
completed | March 20, 2026, 3:22 p.m. |
Created at: March 20, 2026, 1:14 p.m.