Triple

T15104859
Position Surface form Disambiguated ID Type / Status
Subject Sienna Brooks E360762 entity
Predicate appearsIn P795 FINISHED
Object Inferno (2016 film) E84608 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 (2016 film) | Statement: [Sienna Brooks, appearsIn, Inferno (2016 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inferno (2016 film)
Context triple: [Sienna Brooks, appearsIn, Inferno (2016 film)]
  • A. Inferno (film) chosen
    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."
  • B. Inferno
    "Inferno" is a 1980s action thriller film best known for its desert survival and revenge storyline, directed by John G. Avildsen.
  • C. 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.
  • D. Inferno
    Inferno is the passionate and coordinated Arizona State University student section known for energizing home football games during the Arizona–Arizona State rivalry and other matchups.
  • E. Inferno
    Inferno is the first cantica of Dante Alighieri’s Divine Comedy, depicting the poet’s allegorical journey through the nine circles of Hell.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae28e99881908156909e553c2538 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.