Triple

T5695843
Position Surface form Disambiguated ID Type / Status
Subject Can-Can E125536 entity
Predicate originalLeadPerformer P11499 FINISHED
Object Lilo E285858 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: Lilo | Statement: [Can-Can, originalLeadPerformer, Lilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilo
Context triple: [Can-Can, originalLeadPerformer, Lilo]
  • A. Lilo Pelekai
    Lilo Pelekai is a young Hawaiian girl from Disney's "Lilo & Stitch," known for her quirky personality, love of Elvis Presley, and close bond with her alien "dog" Stitch.
  • B. Lilo Baur chosen
    Lilo Baur is a Swiss actress and theatre director known for her work in European film, television, and stage productions.
  • C. Aulani
    Aulani is a Disney-operated Hawaiian resort and spa that blends family-friendly entertainment with local Hawaiian culture and storytelling.
  • D. Lolei
    Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
  • E. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.