Triple
T16367956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Correspondência de Fradique Mendes |
E397483
|
entity |
| Predicate | protagonistSocialType |
P123132
|
FINISHED |
| Object | cosmopolitan aristocrat |
—
|
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: cosmopolitan aristocrat | Statement: [Correspondência de Fradique Mendes, protagonistSocialType, cosmopolitan aristocrat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistSocialType Context triple: [Correspondência de Fradique Mendes, protagonistSocialType, cosmopolitan aristocrat]
-
A.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
B.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
C.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
D.
protagonistDescription
Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
-
E.
protagonistField
Indicates that the subject is the main or central character (protagonist) within the specified narrative or context.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3f0694819097faa1c1447a9e97 |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.