Triple
T27461339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workers’ Opposition |
E692752
|
entity |
| Predicate | leadingTheorist |
P55473
|
FINISHED |
| Object | Alexandra Kollontai |
—
|
NE NERFINISHED |
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: Alexandra Kollontai | Statement: [Workers’ Opposition, leadingTheorist, Alexandra Kollontai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadingTheorist Context triple: [Workers’ Opposition, leadingTheorist, Alexandra Kollontai]
-
A.
notableTheorist
chosen
Indicates that the subject is recognized as a significant or influential theorist in relation to the object or specified field.
-
B.
developsTheory
Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
-
C.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
D.
theoreticalInspiration
Indicates that one entity serves as a conceptual or intellectual source of ideas, models, or frameworks that inform or shape the theory or approach of another entity.
-
E.
theorizedInField
Indicates that a theory, idea, or hypothesis was formulated or developed within a particular academic or scientific field.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62dfa4f3881908a45c137df7fa0db |
completed | May 2, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:50 p.m.