Triple

T18777963
Position Surface form Disambiguated ID Type / Status
Subject Top Shelf Productions E459180 entity
Predicate notableWorkPublished P80 FINISHED
Object From Hell NE NERFINISHED

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: From Hell | Statement: [Top Shelf Productions, notableWorkPublished, From Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: From Hell
Context triple: [Top Shelf Productions, notableWorkPublished, From Hell]
  • A. From Hell chosen
    From Hell is a 2001 dark mystery horror film about the Jack the Ripper murders, starring Heather Graham and Johnny Depp and based on the graphic novel by Alan Moore and Eddie Campbell.
  • B. The Black Book
    The Black Book is a film featuring Portuguese actress Daniela Melchior in its cast.
  • C. The Black Book
    The Black Book is a postmodern novel by Turkish author Orhan Pamuk that blends mystery, philosophical reflection, and Istanbul’s labyrinthine atmosphere to explore identity and storytelling.
  • D. The Black Book
    The Black Book is a 1949 American film noir thriller (also known as Reign of Terror) set during the French Revolution, noted for its dark, expressionistic style and political intrigue.
  • E. The Black Book
    The Black Book is a crime novel in Ian Rankin’s Inspector Rebus series, known for its dark Edinburgh setting and intricate, long-buried secrets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933c640081909bb6fbaa1a21d411 completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.