Triple
T693568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Hayek |
E13848
|
entity |
| Predicate | honorificParticle |
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: [Friedrich Hayek, honorificParticle, von]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificParticle Context triple: [Friedrich Hayek, honorificParticle, von]
-
A.
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.
-
B.
honorificSuffix
Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
-
C.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
D.
hasHonorificSystem
Indicates that a language or culture employs a structured system of honorifics to mark social status, respect, or formality in communication.
-
E.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b1e1d08190bdd42f57be5c2a6b |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.