Triple
T11902436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djedkare Isesi |
E283184
|
entity |
| Predicate | artAndArchitecture |
P102150
|
FINISHED |
| Object | development of private tomb decoration |
—
|
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: development of private tomb decoration | Statement: [Djedkare Isesi, artAndArchitecture, development of private tomb decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artAndArchitecture Context triple: [Djedkare Isesi, artAndArchitecture, development of private tomb decoration]
-
A.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
B.
inArtSince
Indicates that an entity has been involved or active in the field of art starting from a specified time.
-
C.
publicArt
Indicates that something is an artwork installed or displayed in a publicly accessible space.
-
D.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
E.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.