Triple
T23701779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyramid B |
E585612
|
entity |
| Predicate | hasArtisticDepictionsOf |
P20066
|
FINISHED |
| Object | armed warriors |
—
|
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: armed warriors | Statement: [Pyramid B, hasArtisticDepictionsOf, armed warriors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtisticDepictionsOf Context triple: [Pyramid B, hasArtisticDepictionsOf, armed warriors]
-
A.
artisticDepiction
chosen
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
B.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
-
C.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
D.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
E.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
- 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b683edb88190847d34640b6cfabe |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.