Triple
T32669954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne von Willemer |
E835264
|
entity |
| Predicate | partlyIdentifiedWith |
P25442
|
FINISHED |
| Object | Suleika (literary figure) |
—
|
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: Suleika (literary figure) | Statement: [Marianne von Willemer, partlyIdentifiedWith, Suleika (literary figure)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyIdentifiedWith Context triple: [Marianne von Willemer, partlyIdentifiedWith, Suleika (literary figure)]
-
A.
partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified by another entity.
-
B.
partlyConnectedBy
Indicates that two entities are linked or joined by something in an incomplete, partial, or not fully continuous way.
-
C.
partlyControlledBy
Indicates that one entity has partial or limited control or influence over another entity, but not full or exclusive control.
-
D.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
E.
partiallyCorrespondsTo
chosen
Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7ac1f288190ab86a6dd0b6491cd |
completed | May 3, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:09 a.m.