Triple
T38698950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czapski |
E950079
|
entity |
| Predicate | hasBiographicalGenreElement |
P75959
|
FINISHED |
| Object | artist biography |
—
|
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: artist biography | Statement: [Czapski, hasBiographicalGenreElement, artist biography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBiographicalGenreElement Context triple: [Czapski, hasBiographicalGenreElement, artist biography]
-
A.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
B.
hasBiographicalStyle
Indicates that something is characterized by or presented in a biographical manner or style.
-
C.
hasBiographicalTheme
chosen
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
D.
hasBiographicalSubjectRole
Indicates that a role is the biographical subject of a biographical work or account.
-
E.
hasBiographicalNote
Indicates that an entity is associated with a textual note summarizing or describing a person’s life 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcea52dc6c81909ff3106790f3f346 |
completed | May 7, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69fce5b66de88190a2bd19665a699a3d |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:33 p.m.