Triple
T33620072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand von Walter |
E861239
|
entity |
| Predicate | socialStatusDifferenceWithLuise Miller |
P183757
|
FINISHED |
| Object | cross-class relationship |
—
|
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: cross-class relationship | Statement: [Ferdinand von Walter, socialStatusDifferenceWithLuise Miller, cross-class relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusDifferenceWithLuise Miller Context triple: [Ferdinand von Walter, socialStatusDifferenceWithLuise Miller, cross-class relationship]
-
A.
socialStatusOrigin
Indicates the source or basis from which an entity’s social status is derived or determined.
-
B.
modernStatus
Indicates the current or contemporary condition, classification, or standing of an entity in the present time.
-
C.
interactionStatus
Indicates the current state or condition of an interaction or exchange occurring between entities.
-
D.
publicInformationStatus
Indicates whether and to what extent certain information is publicly accessible or disclosed.
-
E.
associatedPeopleStatus
Indicates the role, condition, or standing of people who are connected or linked to a given entity or event.
- 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 1, 2026, 1:41 a.m.