Triple
T16630539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merenkahre |
E404065
|
entity |
| Predicate | hasTitle |
P38
|
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: [Merenkahre, hasTitle, Pharaoh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pharaoh Context triple: [Merenkahre, hasTitle, 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.
Pharaoh
"Pharaoh" is a historical novel by Polish writer Bolesław Prus that explores political power struggles and social dynamics in ancient Egypt.
-
C.
Pharaoh Kah-to-Bey
Pharaoh Kah-to-Bey is a fictional ancient Egyptian ruler whose cursed legacy drives the supernatural horror in the 1967 Hammer film "The Mummy’s Shroud."
-
D.
Ramses, King of the Nile
"Ramses, King of the Nile" is a film featuring actor Don DeFore in a story centered on ancient Egypt and its legendary pharaoh.
-
E.
Rameses
Rameses is the ram mascot of the University of North Carolina at Chapel Hill, symbolizing the school's athletic teams and spirit.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbc6cf48190879b25e66c9453db |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.