Triple

T10918584
Position Surface form Disambiguated ID Type / Status
Subject The Haxan Cloak E257889 entity
Predicate hasCollaboration P10645 FINISHED
Object Lustmord E807906 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: Lustmord | Statement: [The Haxan Cloak, hasCollaboration, Lustmord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lustmord
Context triple: [The Haxan Cloak, hasCollaboration, Lustmord]
  • A. Lustmord
    Lustmord is a text-based artwork by Jenny Holzer that confronts the brutality and trauma of wartime sexual violence through stark, unsettling language.
  • B. Lustmord chosen
    Lustmord is a pioneering dark ambient music project by Welsh composer Brian Williams, known for its ominous soundscapes and influence on industrial and experimental music.
  • C. The Strangler
    The Strangler is a 1964 crime thriller film starring Victor Buono as a disturbed serial killer preying on young women.
  • D. Killinggänget
    Killinggänget is a Swedish comedy group known for its influential TV shows and films that blend dark humor with social satire.
  • E. The Capital Punisher
    The Capital Punisher is the nickname of Frank Howard, a towering power-hitting Major League Baseball slugger best known for his time with the Washington Senators in the 1960s and early 1970s.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2170bb97c81908e8d209ddb630601 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.