Triple
T38276278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nance |
E1021964
|
entity |
| Predicate | historicalFigureTypeDepicted |
P106868
|
FINISHED |
| Object | nance archetype |
—
|
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: nance archetype | Statement: [The Nance, historicalFigureTypeDepicted, nance archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFigureTypeDepicted Context triple: [The Nance, historicalFigureTypeDepicted, nance archetype]
-
A.
historicalFigureTypeCovered
chosen
Indicates that a given type or category of historical figure is included or addressed within a particular context, work, or dataset.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
D.
typeOfColonialFigure
Indicates that one entity is classified as a specific type or role of colonial figure in relation to another entity.
-
E.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a022348ae2881908eae1be79b6f6ff6 |
completed | May 11, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_6a0220beb6b08190981fb86363757517 |
completed | May 11, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:30 p.m.