Triple

T12195322
Position Surface form Disambiguated ID Type / Status
Subject Ammit E290571 entity
Predicate epithet P743 FINISHED
Object Great of Death E972238 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: Great of Death | Statement: [Ammit, epithet, Great of Death]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great of Death
Context triple: [Ammit, epithet, Great of Death]
  • A. Lord of Death
    The Lord of Death is a mythological deity who presides over the realm of the dead and judges the souls of the departed.
  • B. Devourer of the Dead chosen
    Devourer of the Dead is a fearsome ancient Egyptian underworld creature that consumed the hearts of the unworthy, annihilating their chance at an afterlife.
  • C. King of Hell
    King of Hell is a mythological ruler of the underworld and judge of the dead in various East Asian religious and folk traditions.
  • D. Mortus
    Mortus is the main villain of the 1995 Sega Genesis beat ’em up game Comix Zone, a demonic comic-book creator who brings his own drawings to life to battle the hero.
  • E. De mortalitate
    De mortalitate is a Christian theological treatise by Cyprian of Carthage that reflects on death, suffering, and the hope of eternal life amid plague and persecution.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c55a5a881909c0eea2d83c00f49 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5289608190bded58513316b1e5 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.