Triple
T19512656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qusuquzah, Une Très Belle Négresse 1 |
E488193
|
entity |
| Predicate | titleFunction |
P122195
|
FINISHED |
| Object | provocation about race and beauty |
—
|
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: provocation about race and beauty | Statement: [Qusuquzah, Une Très Belle Négresse 1, titleFunction, provocation about race and beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleFunction Context triple: [Qusuquzah, Une Très Belle Négresse 1, titleFunction, provocation about race and beauty]
-
A.
titleHolderFunction
chosen
Indicates a functional relationship in which an entity holds or bears a specific title, role, or designation.
-
B.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
-
C.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
titleIIFocus
Indicates that the primary focus or subject of a Title II–related provision, requirement, or classification is the referenced entity.
-
E.
titleComponent
Indicates that one entity is a component or segment of the overall title associated with another entity.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359908fc8190bd05f26d4271d268 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.