Triple
T4854784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Baptiste Descamps |
E108508
|
entity |
| Predicate | typeOfAuthor |
P56172
|
FINISHED |
| Object | non-fiction writer |
—
|
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: non-fiction writer | Statement: [Jean-Baptiste Descamps, typeOfAuthor, non-fiction writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAuthor Context triple: [Jean-Baptiste Descamps, typeOfAuthor, non-fiction writer]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
C.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
D.
hasAuthorType
chosen
Indicates that an entity is associated with an author characterized by a specific role, category, or type.
-
E.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.