Triple
T13677980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Fritz |
E327924
|
entity |
| Predicate | referentCulturalRole |
P3795
|
FINISHED |
| Object | Enlightened absolutist ruler |
—
|
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: Enlightened absolutist ruler | Statement: [The Old Fritz, referentCulturalRole, Enlightened absolutist ruler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referentCulturalRole Context triple: [The Old Fritz, referentCulturalRole, Enlightened absolutist ruler]
-
A.
hasCulturalRole
chosen
Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
-
B.
ethnographicRole
Indicates the role or function an entity holds within an ethnographic context, such as a cultural, social, or research-related position.
-
C.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
D.
refersToRole
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
E.
perceivedRole
Indicates the role or function that one entity is regarded or interpreted as having in relation to another, based on perception rather than objective status.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.