Triple
T25737766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg Baresch |
E648121
|
entity |
| Predicate | topicOfWritings |
P103055
|
FINISHED |
| Object | Voynich manuscript |
—
|
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: Voynich manuscript | Statement: [Georg Baresch, topicOfWritings, Voynich manuscript]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfWritings Context triple: [Georg Baresch, topicOfWritings, Voynich manuscript]
-
A.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
B.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
C.
coveredTopics
chosen
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
D.
subjectCategories
Indicates that an entity is associated with one or more subject-based categories or classifications.
-
E.
writtenPapers
Indicates that an entity has authored or co-authored one or more academic or written papers.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1726708190ab4382bf35e2db90 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:36 a.m.