Triple
T25934698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freidlin–Wentzell theory |
E653522
|
entity |
| Predicate | mainReferenceAuthor |
P12787
|
FINISHED |
| Object | Mark Freidlin |
—
|
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: Mark Freidlin | Statement: [Freidlin–Wentzell theory, mainReferenceAuthor, Mark Freidlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainReferenceAuthor Context triple: [Freidlin–Wentzell theory, mainReferenceAuthor, Mark Freidlin]
-
A.
canonicalAuthor
Indicates that an entity is the officially recognized or standard author of a given work or resource.
-
B.
importantAuthor
chosen
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
-
C.
selfReferenceOfAuthor
Indicates that an author is making a reference to themselves within a work or context.
-
D.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
E.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6041c82b88190a22f9ecee5172883 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:39 a.m.