Triple

T946653
Position Surface form Disambiguated ID Type / Status
Subject The Waste Land E20426 entity
Predicate alludesTo P5142 FINISHED
Object Inferno E105627 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: Inferno | Statement: [The Waste Land, alludesTo, Inferno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inferno
Context triple: [The Waste Land, alludesTo, Inferno]
  • A. Inferno chosen
    Inferno is the first cantica of Dante Alighieri’s Divine Comedy, depicting the poet’s allegorical journey through the nine circles of Hell.
  • B. Inferno (film)
    Inferno is a 2016 mystery thriller film based on Dan Brown’s novel, following symbologist Robert Langdon as he races to stop a global catastrophe linked to Dante’s "Divine Comedy."
  • C. De Ira Dei
    De Ira Dei is a Christian theological treatise by Lactantius that defends and explains the concept of God's wrath against human sin and injustice.
  • D. Dante’s View
    Dante’s View is a high-elevation overlook on the eastern edge of Death Valley National Park that offers sweeping panoramic views of the valley floor and surrounding mountains.
  • E. Purgatorio
    Purgatorio is the second canticle of Dante Alighieri’s Divine Comedy, depicting the poet’s ascent of Mount Purgatory as souls undergo purification on their way to Paradise.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74fc204819083dbed5c19c4bc15 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e7d55c8190b9b871caead76733 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.