Triple

T896708
Position Surface form Disambiguated ID Type / Status
Subject Divine Comedy E19361 entity
Predicate setting P1957 FINISHED
Object Hell E68979 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: Hell | Statement: [Divine Comedy, setting, Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hell
Context triple: [Divine Comedy, setting, Hell]
  • A. Hell chosen
    Hell is a supernatural underworld realm commonly depicted in religion and fiction as a place of torment, demons, and the damned.
  • B. Tartarus
    Tartarus is the deep, gloomy abyss in Greek mythology used as a dungeon of torment and imprisonment for the Titans and other divine enemies.
  • C. Heaven and Hell
    "Heaven and Hell" is a philosophical essay by Aldous Huxley that explores visionary experiences, altered states of consciousness, and their implications for understanding reality and the human mind.
  • D. Duat
    Duat is the ancient Egyptian underworld and realm of the dead, overseen by Osiris and traversed by souls in their journey after death.
  • E. Helheim
    Helheim is the cold, misty underworld realm in Norse mythology ruled by the goddess Hel, where many of the dead reside.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad2550c88190a624eb5627d472ad completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c02938b08190ae6646328324160e completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.