Triple
T31305553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone |
E798326
|
entity |
| Predicate | importanceInAuthorCareer |
P83240
|
FINISHED |
| Object | first major collection by Osip Mandelstam |
—
|
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: first major collection by Osip Mandelstam | Statement: [Stone, importanceInAuthorCareer, first major collection by Osip Mandelstam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInAuthorCareer Context triple: [Stone, importanceInAuthorCareer, first major collection by Osip Mandelstam]
-
A.
impactOnAuthor
chosen
Indicates that one entity has an effect, influence, or consequence on the author.
-
B.
importantAuthor
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
-
C.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
D.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
E.
importanceInEvent
Indicates the degree to which an entity plays a significant or central role within a particular event.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 29, 2026, 9:14 p.m.