Triple
T16714515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Fumier de Job |
E406188
|
entity |
| Predicate | hasAuthorEthnicityContext |
P115789
|
FINISHED |
| Object | French Jewish |
—
|
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: French Jewish | Statement: [Le Fumier de Job, hasAuthorEthnicityContext, French Jewish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorEthnicityContext Context triple: [Le Fumier de Job, hasAuthorEthnicityContext, French Jewish]
-
A.
hasEthnolinguisticContext
Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
-
B.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
C.
creatorEthnicityOfAuthor
chosen
Indicates that the specified ethnicity is attributed to the creator who is the author of the referenced work or entity.
-
D.
hasAuthorCulturalIdentity
Indicates that an author is associated with a particular cultural identity or background.
-
E.
coAuthorEthnicity
Indicates that two or more co-authors share a specified ethnic background or that an author's ethnicity is being related to their co-authorship on a work.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38654ee4c8190abf36c29d6610a96 |
completed | April 18, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.