Triple
T29470702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emitai |
E747499
|
entity |
| Predicate | hasEthnicGroupDepicted |
P87687
|
FINISHED |
| Object | Diola people |
—
|
NE NERFINISHED |
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: Diola people | Statement: [Emitai, hasEthnicGroupDepicted, Diola people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicGroupDepicted Context triple: [Emitai, hasEthnicGroupDepicted, Diola people]
-
A.
ethnicGroupDepicted
chosen
Indicates that a particular ethnic group is visually represented or portrayed in the subject entity (such as an image, artwork, or media item).
-
B.
depictsEthnicContext
Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
-
C.
hasEthnicGroupDocumented
Indicates that an entity has a specific ethnic group recorded or documented as being associated with it.
-
D.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
E.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 3:56 p.m.