Triple
T29107581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanislav Nikolov |
E736804
|
entity |
| Predicate | hasPublicationYearForNotableWork |
P40005
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Stanislav Nikolov, hasPublicationYearForNotableWork, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicationYearForNotableWork Context triple: [Stanislav Nikolov, hasPublicationYearForNotableWork, 2021]
-
A.
notableWorkPublicationDate
Indicates the date on which a notable work associated with an entity was first published.
-
B.
notableWorkPublishedIn
Indicates that a notable work associated with an entity was published in a particular venue, medium, or publication.
-
C.
hasNotableCollectionPublicationYear
Indicates the year in which a notable collection associated with an entity was published.
-
D.
notableWorkYear
chosen
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
-
E.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 11:16 a.m.