Triple
T25176216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulla Pokriefke |
E630452
|
entity |
| Predicate | fictionalBirthContext |
P49113
|
FINISHED |
| Object | Free City of Danzig milieu |
—
|
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: Free City of Danzig milieu | Statement: [Tulla Pokriefke, fictionalBirthContext, Free City of Danzig milieu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalBirthContext Context triple: [Tulla Pokriefke, fictionalBirthContext, Free City of Danzig milieu]
-
A.
fictionalBirthStatus
Indicates the relationship between an entity and its status of being born or created within a fictional or imaginary context.
-
B.
fictionalBirthPlace
chosen
Indicates the fictional location where a character or entity is described as having been born within a narrative or imagined context.
-
C.
fictionalBirthDate
Indicates the date on which a fictional character is stated or assumed to have been born within its narrative or canon.
-
D.
fictionalBirthName
Indicates the original personal name assigned to a fictional character at birth, as distinct from any later or alternate names they may use.
-
E.
fictionalBirthYear
Indicates the year in which a fictional character is stated or assumed to have been born within its narrative or canon.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 12:34 p.m.