Triple

T3285588
Position Surface form Disambiguated ID Type / Status
Subject Anung Un Rama E68973 entity
Predicate origin P410 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: [Anung Un Rama, origin, Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hell
Context triple: [Anung Un Rama, origin, 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. Purgatory
    Purgatory is a one-act play by W.B. Yeats that explores themes of guilt, inheritance, and the haunting power of the past within a stark, symbolic family drama.
  • C. 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.
  • D. Hell-Heaven
    Hell-Heaven is a short story by Jhumpa Lahiri that explores themes of cultural displacement, family tension, and unrequited love within the Bengali immigrant experience in America.
  • E. 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.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03918c48190987d7cfd3bda9716 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.