Triple
T34792751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non più mesta |
E1002989
|
entity |
| Predicate | characterStatusAtAria |
P129147
|
FINISHED |
| Object | newly recognized as princess |
—
|
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: newly recognized as princess | Statement: [Non più mesta, characterStatusAtAria, newly recognized as princess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterStatusAtAria Context triple: [Non più mesta, characterStatusAtAria, newly recognized as princess]
-
A.
characterStatusInStory
Indicates the role or condition a character holds within the context of a specific story or narrative.
-
B.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
C.
featuresCharacterWithStatus
chosen
Indicates that something (such as a work or scene) includes a character who has a specified status or condition.
-
D.
characterIndication
Indicates that one entity serves as a sign, symbol, or marker that reveals, suggests, or points to the character or qualities of another entity.
-
E.
refersToCharacterStatus
Indicates that one entity references or denotes the status or condition of a specific character.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 3, 2026, 3:59 p.m.