Triple

T9627172
Position Surface form Disambiguated ID Type / Status
Subject Alan Moore E232498 entity
Predicate notableWork P4 FINISHED
Object From Hell E789919 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: From Hell | Statement: [Alan Moore, notableWork, From Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: From Hell
Context triple: [Alan Moore, notableWork, 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 postmodern novel by Turkish author Orhan Pamuk that blends mystery, philosophical reflection, and Istanbul’s labyrinthine atmosphere to explore identity and storytelling.
  • C. The Black Book
    The Black Book is a film featuring Portuguese actress Daniela Melchior in its cast.
  • 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 Charnel House
    The Charnel House is a 1945 painting by Pablo Picasso that depicts a twisted, skeletal pile of bodies as a powerful condemnation of war and human atrocity.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9afc9144819084b208c3d04174ba completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1798129dc819090a29efcbcf34b8e completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.