Triple

T9562627
Position Surface form Disambiguated ID Type / Status
Subject Heaven Can Wait E230710 entity
Predicate portrayedBy P1507 FINISHED
Object Signe Hasso E725338 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: Signe Hasso | Statement: [Heaven Can Wait, portrayedBy, Signe Hasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Signe Hasso
Context triple: [Heaven Can Wait, portrayedBy, Signe Hasso]
  • A. Signe Hasso chosen
    Signe Hasso was a Swedish-born actress and singer who became known in Hollywood for her dramatic roles in 1940s films and later work on stage and television.
  • B. Helga Meyer
    Helga Meyer was a German opera singer and voice teacher best known as the mother of actress Sandra Bullock.
  • C. Christianne Vulpius
    Christianne Vulpius was the longtime companion and later wife of German writer Johann Wolfgang von Goethe, known primarily for her intimate association with the famed poet and dramatist.
  • D. Birgit Kroencke
    Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
  • E. Hanne Hiob
    Hanne Hiob was a German actress and political activist, known for her work in theater and film as well as for preserving and promoting the legacy of her father, playwright Bertolt Brecht.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9965e7b881909df98e933db38092 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a014a48190925d52967e1fbffe completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.