Triple

T15105647
Position Surface form Disambiguated ID Type / Status
Subject Franz von Stuck E360781 entity
Predicate notableWork P4 FINISHED
Object The Sin E561496 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: The Sin | Statement: [Franz von Stuck, notableWork, The Sin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sin
Context triple: [Franz von Stuck, notableWork, The Sin]
  • A. The Sin
    The Sin is a landmark 1965 Egyptian drama film directed by Henry Barakat, renowned for its stark portrayal of rural poverty and oppression and for featuring one of Faten Hamama’s most powerful performances.
  • B. The Sins
    The Sins is a work by author Dominique Caine, likely a dark, character-driven story centered on moral transgression and its consequences.
  • C. Icon of Sin
    Icon of Sin is the colossal, demonic final boss of Doom II that serves as the ultimate manifestation of Hell the player must destroy.
  • D. Sinner
    "Sinner" is a popular Afropop single by Nigerian singer Adekunle Gold, known for its smooth, sensual vibe and romantic lyricism.
  • E. The Sin (novel) chosen
    The Sin is a novel best known as the source material for later adaptations sharing its title.
  • 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.