Triple
T17553180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.D. Miller |
E427521
|
entity |
| Predicate | ethnicCultureDocumented |
P127893
|
FINISHED |
| Object | Cajun culture |
—
|
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: Cajun culture | Statement: [J.D. Miller, ethnicCultureDocumented, Cajun culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCultureDocumented Context triple: [J.D. Miller, ethnicCultureDocumented, Cajun culture]
-
A.
culturalElements
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
-
B.
culturalKnowledge
Indicates that one entity possesses or conveys understanding of the customs, practices, values, or traditions associated with a particular culture.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
E.
cultureHeroIn
Indicates that an entity serves as a culture hero within a specified cultural or mythological tradition.
- F. None of above. chosen
Provenance (4 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4561fcaf48190b2e45b77e5ff7d0f |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.