Triple
T11261563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giza plateau inscriptions |
E266572
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Khafre |
E33000
|
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: Khafre | Statement: [Giza plateau inscriptions, associatedWith, Khafre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khafre Context triple: [Giza plateau inscriptions, associatedWith, Khafre]
-
A.
Khafre
chosen
Khafre was an ancient Egyptian pharaoh of the Fourth Dynasty, best known for commissioning the second-largest pyramid at Giza and likely the Great Sphinx.
-
B.
Khufu
Khufu was an ancient Egyptian pharaoh of the Fourth Dynasty, best known for commissioning the construction of the Great Pyramid at Giza.
-
C.
Mycerinus
Mycerinus is the Greek name for Menkaure, the ancient Egyptian pharaoh best known for building the third and smallest of the three main pyramids at Giza.
-
D.
Radjedef
Radjedef was an ancient Egyptian pharaoh of the 4th Dynasty, likely a son of Khufu, who ruled from Giza and is known for building a pyramid at Abu Rawash.
-
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 (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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94c066c8190be1e032eb328e5fe |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f410cb508190bb0ceab51075eec5 |
completed | April 19, 2026, 3:26 p.m. |
Created at: April 8, 2026, 9:31 p.m.