Triple
T12429586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Ernst von Morgenstern |
E296990
|
entity |
| Predicate | hasNobleParticle |
P58699
|
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: [Christian Ernst von Morgenstern, hasNobleParticle, von]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNobleParticle Context triple: [Christian Ernst von Morgenstern, hasNobleParticle, von]
-
A.
hasNobilityParticle
chosen
Indicates that a person’s name includes a nobility particle (such as “von,” “de,” or “van”) signifying noble or aristocratic status.
-
B.
hasNoble
Indicates that one entity possesses or is associated with a noble title, status, or noble individual.
-
C.
hasNobleStatus
Indicates that an entity possesses a recognized noble rank, title, or aristocratic status.
-
D.
nobleRankAbove
Indicates that one entity holds a higher noble rank or title in a hierarchy than another entity.
-
E.
hasNoun
Indicates that an entity possesses or is associated with a specific noun as an attribute, label, or grammatical component.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.