Triple

T3452289
Position Surface form Disambiguated ID Type / Status
Subject Robert Langdon film series E72818 entity
Predicate thirdFilm P48297 FINISHED
Object Inferno (film) E84608 NE FINISHED

How this triple was built (3 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 (film) | Statement: [Robert Langdon film series, thirdFilm, Inferno (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inferno (film)
Context triple: [Robert Langdon film series, thirdFilm, Inferno (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 the first cantica of Dante Alighieri’s Divine Comedy, depicting the poet’s allegorical journey through the nine circles of Hell.
  • 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 distributed operating system developed at Bell Labs, known for its use of the Limbo programming language and its focus on portable, networked computing.
  • E. Inferno
    Inferno is a classic Third Doctor serial from the British science fiction series Doctor Who, notable for its dark tone and parallel universe storyline involving a disastrous drilling project.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: thirdFilm
Context triple: [Robert Langdon film series, thirdFilm, Inferno (film)]
  • A. secondFilmTitle
    Indicates that the specified value is the title of the second film associated with an entity or within a sequence of films.
  • B. thirdWord
    Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
  • C. firstFilmTitle
    Indicates the title of the first film associated with a given entity.
  • D. thirdSingle
    Indicates that an entity is the third single (e.g., third single release) associated with another entity, typically in a sequence such as from an album or artist.
  • E. thirdStudioAlbum
    Indicates that the subject is the third studio album released by the object (typically an artist or band) in their discography.
  • F. None of above. chosen

Provenance (5 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa2f5ec81909ced93c01e8fe38b completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a7da208190a8a9ad5ede8d4f0f completed March 13, 2026, 2:17 a.m.
PD Predicate disambiguation batch_69adae041d588190a84a02bca94adec8 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adaed74ecc8190b74dc70ab59a3e1c completed March 8, 2026, 5:16 p.m.
Created at: March 8, 2026, 3:16 p.m.