Triple
T36409633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deveraux |
E896840
|
entity |
| Predicate | isOfNameCategory |
P154642
|
FINISHED |
| Object | French-language surnames |
—
|
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-language surnames | Statement: [Deveraux, isOfNameCategory, French-language surnames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfNameCategory Context triple: [Deveraux, isOfNameCategory, French-language surnames]
-
A.
isNameCategory
chosen
Indicates that something is classified as a particular category or type of name.
-
B.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
C.
hasNameLengthCategory
Indicates that an entity is associated with a classification describing the length of its name (e.g., short, medium, long).
-
D.
codeNameCategory
Indicates that an entity’s code name belongs to or is classified under a particular category of code names.
-
E.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.