Triple

T8962841
Position Surface form Disambiguated ID Type / Status
Subject Sharlto Copley E214049 entity
Predicate playedCharacter P1507 FINISHED
Object Chappie (voice) E307799 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: Chappie (voice) | Statement: [Sharlto Copley, playedCharacter, Chappie (voice)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chappie (voice)
Context triple: [Sharlto Copley, playedCharacter, Chappie (voice)]
  • A. Chappie chosen
    Chappie is a 2015 science fiction film directed by Neill Blomkamp about an experimental police robot that gains sentience and struggles to learn and survive in a human world.
  • B. Wanz
    Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
  • C. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • D. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • E. Max Lu
    Max Lu is a chemical engineer and academic leader who serves as the Vice-Chancellor and President of the University of Surrey in the United Kingdom.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6749e5008190a01f42a2e772dd54 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94e088881909506b229d1fff44a completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.