Triple

T12214155
Position Surface form Disambiguated ID Type / Status
Subject Helena Zengel E291039 entity
Predicate characterPlayedIn P1668 FINISHED
Object System Crasher E969509 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: System Crasher | Statement: [Helena Zengel, characterPlayedIn, System Crasher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: System Crasher
Context triple: [Helena Zengel, characterPlayedIn, System Crasher]
  • A. System Crasher chosen
    System Crasher is a 2019 German drama film about a deeply traumatized young girl whose extreme behavior overwhelms the child welfare system.
  • B. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • C. Crashing
    Crashing is a British comedy-drama television series created by and starring Phoebe Waller-Bridge, following a group of twenty-somethings living as property guardians in a disused hospital.
  • D. Crashing
    Crashing is a semi-autobiographical comedy television series created by and starring Pete Holmes that follows an aspiring stand-up comedian rebuilding his life after his marriage falls apart.
  • E. Fatal Error
    "Fatal Error" is a techno-thriller novel by F. Paul Wilson featuring his recurring character Repairman Jack as he confronts deadly consequences tied to the dark side of digital technology.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5882408190b4853f3a11c249c2 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.