Triple
T5992240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maat |
E133376
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Pharaoh |
E81542
|
NE 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: Pharaoh | Statement: [Maat, associatedWith, Pharaoh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pharaoh Context triple: [Maat, associatedWith, Pharaoh]
-
A.
Pharaoh
chosen
Pharaoh is the title used for the ancient kings of Egypt, who ruled as powerful monarchs and were often regarded as divine or semi-divine figures.
-
B.
Rameses
Rameses is the ram mascot of the University of North Carolina at Chapel Hill, symbolizing the school's athletic teams and spirit.
-
C.
Kahmunrah
Kahmunrah is the power-hungry ancient Egyptian pharaoh and main antagonist in the film "Night at the Museum: Battle of the Smithsonian."
-
D.
Senenmut
Senenmut was a prominent ancient Egyptian official and architect of the 18th Dynasty, best known for his close association with Pharaoh Hatshepsut and for designing some of her most famous monuments.
-
E.
Setnakhte
Setnakhte was the founding pharaoh of ancient Egypt’s Twentieth Dynasty, known for restoring stability after the turbulent late Nineteenth Dynasty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e8fd030819095a4f3b3d425ec21 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108685f788190aa3f84e56837b195 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.