Triple
T28002071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fräulein Emmy von N. |
E707173
|
entity |
| Predicate | coAuthoredCaseReportBy |
P2389
|
FINISHED |
| Object | Josef Breuer |
—
|
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: Josef Breuer | Statement: [Fräulein Emmy von N., coAuthoredCaseReportBy, Josef Breuer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coAuthoredCaseReportBy Context triple: [Fräulein Emmy von N., coAuthoredCaseReportBy, Josef Breuer]
-
A.
hasCoauthor
chosen
Indicates that two or more entities have jointly authored the same work or publication.
-
B.
coAuthorshipType
Indicates the specific nature or category of the collaborative authorship relationship between two or more contributors.
-
C.
coAuthorAlsoWrote
Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
-
D.
basedOnAuthorCollaboratedWith
Indicates that one entity is derived from, influenced by, or created using work that was produced through a collaboration between the specified author and another contributor.
-
E.
coAuthorAttributionTradition
Indicates that there is a recognized tradition or convention of attributing co-authorship between the related entities.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63bd2dc3c81908ee2471fa32c7841 |
completed | May 2, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:57 p.m.