Triple
T11443177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilia Galotti |
E271195
|
entity |
| Predicate | characterTypeOfPrince |
P99321
|
FINISHED |
| Object | 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: absolutist ruler | Statement: [Emilia Galotti, characterTypeOfPrince, absolutist ruler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTypeOfPrince Context triple: [Emilia Galotti, characterTypeOfPrince, absolutist ruler]
-
A.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
B.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
C.
mainKingCharacter
Indicates that the entity serves as the primary king character or central royal protagonist in a given context.
-
D.
characterTypeOfEdward
Indicates that the specified attribute or classification is the character type assigned to Edward.
-
E.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d808891b7481908bf5a80cb7644061 |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.