Triple
T18074822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theban nome |
E432527
|
entity |
| Predicate | associatedWithRuler |
P2830
|
FINISHED |
| Object | Akhenaten |
—
|
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: Akhenaten | Statement: [Theban nome, associatedWithRuler, Akhenaten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akhenaten Context triple: [Theban nome, associatedWithRuler, Akhenaten]
-
A.
Akhenaten
chosen
Akhenaten was a revolutionary 18th Dynasty Egyptian pharaoh best known for promoting the worship of the sun disk Aten and radically transforming traditional religion and art.
-
B.
Thutmose
Thutmose was an ancient Egyptian sculptor of the 14th century BCE, best known for creating the iconic bust of Queen Nefertiti.
-
C.
Akhenre Setepenre
Akhenre Setepenre was the throne name of the ancient Egyptian pharaoh Siptah, a late 19th Dynasty ruler of the New Kingdom.
-
D.
Amenhotep III
Amenhotep III was an 18th Dynasty pharaoh of ancient Egypt known for an exceptionally prosperous and stable reign marked by grand architectural projects and flourishing arts.
-
E.
Kahmunrah
Kahmunrah is the power-hungry ancient Egyptian pharaoh and main antagonist in the film "Night at the Museum: Battle of the Smithsonian."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f40c9881909294d538c026d486 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:26 a.m.