Triple
T6362211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mean Spirit |
E143136
|
entity |
| Predicate | hasEthnicPerspective |
P68292
|
FINISHED |
| Object | Native American |
—
|
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: Native American | Statement: [Mean Spirit, hasEthnicPerspective, Native American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicPerspective Context triple: [Mean Spirit, hasEthnicPerspective, Native American]
-
A.
hasCulturalPerspective
chosen
Indicates a relationship where something is understood, interpreted, or presented from a particular cultural viewpoint or frame of reference.
-
B.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
C.
hasEthnolinguisticContext
Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
-
D.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
E.
depictsEthnicContext
Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680c02b481908618317566e31a5c |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.