Triple
T383377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic Doubts on the Life and Reign of King Richard the Third |
E8727
|
entity |
| Predicate | challengesPortrayalOf |
P10720
|
FINISHED |
| Object | Richard III as a villain |
—
|
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: Richard III as a villain | Statement: [Historic Doubts on the Life and Reign of King Richard the Third, challengesPortrayalOf, Richard III as a villain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: challengesPortrayalOf Context triple: [Historic Doubts on the Life and Reign of King Richard the Third, challengesPortrayalOf, Richard III as a villain]
-
A.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
B.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
portrayedByWork
Indicates that a work (such as a film, book, or artwork) depicts, represents, or portrays a particular entity.
-
D.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
E.
portraysProfession
Indicates that one entity depicts or represents another entity in a specific profession or occupational role.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.