Triple
T15018671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Talleyrand |
E378024
|
entity |
| Predicate | depictsNobleStatus |
P52082
|
FINISHED |
| Object | French nobleman |
—
|
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: French nobleman | Statement: [Portrait of Talleyrand, depictsNobleStatus, French nobleman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsNobleStatus Context triple: [Portrait of Talleyrand, depictsNobleStatus, French nobleman]
-
A.
hasNobleStatus
chosen
Indicates that an entity possesses a recognized noble rank, title, or aristocratic status.
-
B.
notableNoble
Indicates that an entity is a noble who is particularly prominent, distinguished, or widely recognized in some notable way.
-
C.
nobilityClass
Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
-
D.
hasNoble
Indicates that one entity possesses or is associated with a noble title, status, or noble individual.
-
E.
usedByNobility
Indicates that something is employed, possessed, or utilized specifically by members of the nobility.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:56 a.m.