Triple
T31080631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Julius Bernstein |
E792084
|
entity |
| Predicate | hasDBLPAuthorId |
P170721
|
FINISHED |
| Object | b/Bernstein:Daniel_J= |
—
|
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: b/Bernstein:Daniel_J= | Statement: [Daniel Julius Bernstein, hasDBLPAuthorId, b/Bernstein:Daniel_J=]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDBLPAuthorId Context triple: [Daniel Julius Bernstein, hasDBLPAuthorId, b/Bernstein:Daniel_J=]
-
A.
keyPublicationAuthors
Indicates that the specified authors are the primary or most significant contributors associated with a key or central publication.
-
B.
arxivId
Indicates that an entity (such as a paper or work) is associated with a specific arXiv identifier used to reference it in the arXiv repository.
-
C.
academicFieldOfAuthor
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
D.
isAcademicPublicationOf
Indicates that one entity is an academic publication (e.g., paper, article, or report) that has been produced by or is associated with another entity.
-
E.
hasNumberOfPubs
Indicates that an entity is associated with a specific count of publications.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695bd88d88190a7bb4fcded6a5b62 |
completed | May 3, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9:02 p.m.