Triple

T5672976
Position Surface form Disambiguated ID Type / Status
Subject Double Crown of Egypt E125019 entity
Predicate notableWearer P9510 FINISHED
Object Tutankhamun E108625 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: Tutankhamun | Statement: [Double Crown of Egypt, notableWearer, Tutankhamun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tutankhamun
Context triple: [Double Crown of Egypt, notableWearer, Tutankhamun]
  • A. Tutankhamun chosen
    Tutankhamun was a young 18th-dynasty Egyptian pharaoh whose nearly intact tomb, discovered in 1922, made him one of the most famous figures of ancient Egypt.
  • B. Kahmunrah
    Kahmunrah is the power-hungry ancient Egyptian pharaoh and main antagonist in the film "Night at the Museum: Battle of the Smithsonian."
  • C. Neferkare
    Neferkare is the throne name of the ancient Egyptian pharaoh Pepi II, a long-reigning ruler of the Sixth Dynasty in the Old Kingdom.
  • D. Khafre
    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.
  • E. Siptah
    Siptah was a late 19th Dynasty pharaoh of ancient Egypt who ruled briefly during a turbulent period marked by political instability and power struggles.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0335cf55c8190937a8657406ac4a2 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db5c9a08190b1d6b7db87d0d9ac completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.