Triple
T21336944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter von Cornelius |
E526073
|
entity |
| Predicate | honorificPart |
P17541
|
FINISHED |
| Object | von |
—
|
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: von | Statement: [Peter von Cornelius, honorificPart, von]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificPart Context triple: [Peter von Cornelius, honorificPart, von]
-
A.
honorificParticle
chosen
Indicates that a grammatical particle is used to convey respect, politeness, or social status toward a referent in the expression.
-
B.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
C.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
D.
honorificSuffix
Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
-
E.
honorificIndicates
Indicates that one entity uses an honorific title or respectful form of address to refer to or address another entity.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d9413c8190a43a6b0c67d5fc5f |
completed | April 22, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:43 p.m.