Triple

T18707866
Position Surface form Disambiguated ID Type / Status
Subject Leslie Arliss E457419 entity
Predicate directed P7373 FINISHED
Object The Girl in the News NE NERFINISHED

How this triple was built (3 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 Girl in the News | Statement: [Leslie Arliss, directed, The Girl in the News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Girl in the News
Context triple: [Leslie Arliss, directed, The Girl in the News]
  • A. The Girl in the Book
    The Girl in the Book is a 2015 independent drama film that explores themes of memory, trauma, and authorship through the story of a young book editor confronting a past abuse.
  • B. The Girl Most Likely
    The Girl Most Likely is a 1957 Technicolor musical romantic comedy film best known as the final movie produced by RKO Radio Pictures, starring Jane Powell as a young woman juggling multiple suitors.
  • C. The Girl Who Had Everything
    The Girl Who Had Everything is a 1953 American drama film starring Elizabeth Taylor as a young woman torn between her powerful lawyer father and a charismatic racketeer.
  • D. The Girl in the Crowd
    The Girl in the Crowd is a stage production associated with British actor and playwright Frank Vosper.
  • E. The Girl with the Curls
    The Girl with the Curls is the famous nickname of silent film star Mary Pickford, who was renowned for her youthful roles and distinctive ringlet hairstyle.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Girl in the News
Target entity description: The Girl in the News is a 1940 British crime drama film centered on a nurse entangled in a high-profile murder case.
  • A. The Girl in the Book
    The Girl in the Book is a 2015 independent drama film that explores themes of memory, trauma, and authorship through the story of a young book editor confronting a past abuse.
  • B. The Girl Most Likely
    The Girl Most Likely is a 1957 Technicolor musical romantic comedy film best known as the final movie produced by RKO Radio Pictures, starring Jane Powell as a young woman juggling multiple suitors.
  • C. The Girl Who Had Everything
    The Girl Who Had Everything is a 1953 American drama film starring Elizabeth Taylor as a young woman torn between her powerful lawyer father and a charismatic racketeer.
  • D. The Girl in the Crowd
    The Girl in the Crowd is a stage production associated with British actor and playwright Frank Vosper.
  • E. The Girl with the Curls
    The Girl with the Curls is the famous nickname of silent film star Mary Pickford, who was renowned for her youthful roles and distinctive ringlet hairstyle.
  • F. None of above. chosen

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e567185c648190848ca47498eb56b3 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.