Triple
T27295981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electress Palatine |
E688764
|
entity |
| Predicate | inheritsStyle |
P138425
|
FINISHED |
| Object | Serene Highness (in some periods) |
—
|
NE NERFINISHED |
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: Serene Highness (in some periods) | Statement: [Electress Palatine, inheritsStyle, Serene Highness (in some periods)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inheritsStyle Context triple: [Electress Palatine, inheritsStyle, Serene Highness (in some periods)]
-
A.
inheritsSymbolFrom
Indicates that one entity derives or receives its symbolic representation or notation from another entity.
-
B.
inheritsThrough
chosen
Indicates that one entity acquires rights, traits, or properties from another entity via an intermediate source or lineage rather than directly.
-
C.
isInherited
Indicates that one entity derives its characteristics, properties, or rights from another through an inheritance relationship.
-
D.
usesAsStyleOf
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
-
E.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 11:18 a.m.