Triple

T11391500
Position Surface form Disambiguated ID Type / Status
Subject Das Ungeheuer E269850 entity
Predicate originalTitle P65 FINISHED
Object Das Ungeheuer E269850 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: Das Ungeheuer | Statement: [Das Ungeheuer, originalTitle, Das Ungeheuer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Das Ungeheuer
Context triple: [Das Ungeheuer, originalTitle, Das Ungeheuer]
  • A. Das Ungeheuer chosen
    Das Ungeheuer is a contemporary German-language novel by Terézia Mora that explores themes of grief, identity, and communication through the fragmented inner world of its protagonist.
  • B. The Monster
    "The Monster" is a pop/hip-hop song co-written by Jon Bellion that became widely known through its performance by Eminem featuring Rihanna.
  • C. The Monster
    The Monster is the stage name and alter ego of American record producer and rapper Swizz Beatz, under which he has released music and production work.
  • D. The Monster
    The Monster is the iconic reanimated creature in the 1931 film "Frankenstein," known for its tragic, misunderstood nature and enduring influence on horror cinema.
  • E. The Monster
    The Monster is a towering, ancient tree-like creature who appears to a young boy in the dark fantasy novel "A Monster Calls," guiding him through stories that confront grief and truth.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001796f48190822526f52e3f0337 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c8f5ed88190b9cc55c0a73993ec completed April 20, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:34 p.m.