Triple

T9113327
Position Surface form Disambiguated ID Type / Status
Subject Pip Torrens E218658 entity
Predicate notableWork P4 FINISHED
Object The Danish Girl E69123 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: The Danish Girl | Statement: [Pip Torrens, notableWork, The Danish Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Danish Girl
Context triple: [Pip Torrens, notableWork, The Danish Girl]
  • A. The Danish Girl chosen
    The Danish Girl is a 2015 biographical drama film about transgender pioneer Lili Elbe, directed by Tom Hooper and starring Eddie Redmayne and Alicia Vikander.
  • B. The White Crow
    The White Crow is a biographical drama film about ballet legend Rudolf Nureyev’s defection to the West, directed by actor-filmmaker Ralph Fiennes.
  • C. Woman in Gold
    Woman in Gold is a 2015 biographical drama film about Maria Altmann’s legal battle to reclaim Gustav Klimt’s famous painting from the Austrian government.
  • D. Maudie
    Maudie is a biographical drama film about Canadian folk artist Maud Lewis, noted for its intimate portrayal of her life and performances by Sally Hawkins and Ethan Hawke.
  • E. Gothika
    Gothika is a 2003 supernatural psychological horror film starring Halle Berry as a criminal psychologist who becomes a patient in her own mental institution after a mysterious, possibly paranormal incident.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0305eb6e081908edba0ddab25e209 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.