Triple

T2327042
Position Surface form Disambiguated ID Type / Status
Subject As Time Goes By E48310 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Ilsa Lund E49486 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: Ilsa Lund | Statement: [As Time Goes By, associatedWithCharacter, Ilsa Lund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilsa Lund
Context triple: [As Time Goes By, associatedWithCharacter, Ilsa Lund]
  • A. Ilsa Lund chosen
    Ilsa Lund is the enigmatic former lover of Rick Blaine and the central female protagonist in the classic 1942 film "Casablanca," portrayed by Ingrid Bergman.
  • B. Malena Ernman
    Malena Ernman is a Swedish opera singer and environmental activist known both for her acclaimed mezzo-soprano career and as the mother of climate activist Greta Thunberg.
  • C. Linda Christian
    Linda Christian was a Mexican-born Hollywood actress best known as the first on-screen "Bond girl" in the 1954 television adaptation of Casino Royale.
  • D. Nina Foch
    Nina Foch was a Dutch-born American actress known for her poised, often aristocratic roles in classic Hollywood films and for her work as a respected acting teacher.
  • E. Marlene Dietrich
    Marlene Dietrich was a German-American actress and singer renowned for her iconic film roles, distinctive voice, and androgynous, glamorous persona in classic Hollywood cinema.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64c7f1881909b0d847f7782e803 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3be86dc8190af185bac9554e7d6 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:50 p.m.