Triple

T13730692
Position Surface form Disambiguated ID Type / Status
Subject Illustrations to Dante’s Divine Comedy E329788 entity
Predicate depicts P1581 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: [Illustrations to Dante’s Divine Comedy, depicts, Inferno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inferno
Context triple: [Illustrations to Dante’s Divine Comedy, depicts, 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
    "Inferno" is a 1953 Technicolor 3D film noir thriller starring William Lundigan alongside Robert Ryan and Rhonda Fleming, noted for its desert survival plot and innovative use of 3D cinematography.
  • C. Inferno
    "Inferno" is a 1980s action thriller film best known for its desert survival and revenge storyline, directed by John G. Avildsen.
  • D. Inferno
    Inferno is a major expansion for the sci-fi MMORPG EVE Online that focused on revamping warfare mechanics, including factional warfare and mercenary contracts.
  • E. Inferno
    "Inferno" is a 2016 mystery thriller film based on Dan Brown's novel, in which Irrfan Khan plays a key supporting role alongside Tom Hanks.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f92b588190be97ec4564dddd59 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d65062c819086a5f7a7ebc45412 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.