Triple
T20262998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalos |
E498889
|
entity |
| Predicate | languageInspiration |
P135582
|
FINISHED |
| Object | French |
—
|
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 | Statement: [Kalos, languageInspiration, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageInspiration Context triple: [Kalos, languageInspiration, French]
-
A.
creativeLanguage
Indicates that an entity uses language in an original, imaginative, or non-literal way to express ideas.
-
B.
languageAssistanceBasis
chosen
Indicates the basis or grounds on which language assistance is provided or justified in a given context.
-
C.
genreOfInspiration
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
D.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
E.
inspirationConcept
Indicates that one concept serves as a source of inspiration or creative influence for another concept.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.