Triple

T16369141
Position Surface form Disambiguated ID Type / Status
Subject Ancient Egypt series E397516 entity
Predicate hasPart P35 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: [Ancient Egypt series, hasPart, Pharaoh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pharaoh
Context triple: [Ancient Egypt series, hasPart, 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff4021e88190ad093bab74cf82a4 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.