Triple

T14481335
Position Surface form Disambiguated ID Type / Status
Subject KV7 E359107 entity
Predicate hasDecorationTheme P61999 FINISHED
Object Amduat E300349 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: Amduat | Statement: [KV7, hasDecorationTheme, Amduat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amduat
Context triple: [KV7, hasDecorationTheme, Amduat]
  • A. Amduat chosen
    Amduat is an ancient Egyptian funerary text that narrates the sun god Ra’s journey through the underworld during the twelve hours of the night.
  • B. Book of the Dead
    The Book of the Dead is an ancient Egyptian funerary text composed of spells, prayers, and rituals intended to guide the deceased safely through the afterlife.
  • C. Book of the Dead
    "Book of the Dead" is a crime novel by Patricia Cornwell featuring forensic pathologist Dr. Kay Scarpetta investigating a series of brutal murders.
  • D. Coffin Texts
    The Coffin Texts are a collection of ancient Egyptian funerary spells and inscriptions, mainly from the Middle Kingdom, intended to protect and guide the deceased in the afterlife.
  • E. Book of Amun-Ra
    The Book of Amun-Ra is a powerful fictional ancient Egyptian artifact from *The Mummy* franchise, depicted as a sacred text capable of granting immense power and reversing curses.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8ccd608190afd23c903cd5686a completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.