Triple

T14208583
Position Surface form Disambiguated ID Type / Status
Subject Night at the Museum: Battle of the Smithsonian E352163 entity
Predicate character P662 FINISHED
Object Kahmunrah E393094 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: Kahmunrah | Statement: [Night at the Museum: Battle of the Smithsonian, character, Kahmunrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kahmunrah
Context triple: [Night at the Museum: Battle of the Smithsonian, character, Kahmunrah]
  • A. Kahmunrah chosen
    Kahmunrah is the power-hungry ancient Egyptian pharaoh and main antagonist in the film "Night at the Museum: Battle of the Smithsonian."
  • B. 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.
  • C. Aakheperure
    Aakheperure was the throne name of the Egyptian pharaoh Amenhotep II of the 18th Dynasty.
  • D. Rameses
    Rameses is the ram mascot of the University of North Carolina at Chapel Hill, symbolizing the school's athletic teams and spirit.
  • E. Khakheperre
    Khakheperre was the throne name of the ancient Egyptian pharaoh Senusret II of the Twelfth 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb75ea708190a30153c76cde8e79 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 1:05 a.m.