Triple
T37156900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. John the Baptist Preaching in the Wilderness |
E920533
|
entity |
| Predicate | creatorAlternativeNationality |
P201204
|
FINISHED |
| Object | Bohemian |
—
|
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: Bohemian | Statement: [St. John the Baptist Preaching in the Wilderness, creatorAlternativeNationality, Bohemian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorAlternativeNationality Context triple: [St. John the Baptist Preaching in the Wilderness, creatorAlternativeNationality, Bohemian]
-
A.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
B.
creatorAlternativeName
Indicates an alternative or variant name used to refer to the creator.
-
C.
creatorNationalityContext
Indicates the relationship between a creator and the national or cultural context associated with that creator.
-
D.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
E.
coCreatorNationality
Indicates that two or more co-creators share the same national origin or nationality in the context of their joint work or collaboration.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
| PDg | Predicate description generation | batch_69ffde916fcc81908d6e1b4e6d3f761c |
completed | May 10, 2026, 1:25 a.m. |
Created at: May 3, 2026, 4:15 p.m.