Triple

T1146428
Position Surface form Disambiguated ID Type / Status
Subject Persephone E23576 entity
Predicate domain P87 FINISHED
Object the underworld E19357 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: the underworld | Statement: [Persephone, domain, the underworld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the underworld
Context triple: [Persephone, domain, the underworld]
  • A. 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.
  • B. Shades in the Underworld
    Shades in the Underworld are the disembodied spirits of the dead dwelling in Hades, depicted in Greek mythology as pale, insubstantial remnants of their former lives.
  • C. Hades chosen
    Hades is the ancient Greek god of the underworld and the dead, ruling over the realm of the afterlife.
  • 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. Hell
    Hell is a supernatural underworld realm commonly depicted in religion and fiction as a place of torment, demons, and the damned.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb1f7d08190ba722dcbbc8a6799 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.