Triple

T3202195
Position Surface form Disambiguated ID Type / Status
Subject Barbara Loden E67075 entity
Predicate filmDebutAsDirector P45223 FINISHED
Object Wanda E253732 NE FINISHED

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: Wanda | Statement: [Barbara Loden, filmDebutAsDirector, Wanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda
Context triple: [Barbara Loden, filmDebutAsDirector, Wanda]
  • A. Wanda chosen
    Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Scarlet Witch
    Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
  • C. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • D. Miss Quill
    Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
  • E. Violanta
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmDebutAsDirector
Context triple: [Barbara Loden, filmDebutAsDirector, Wanda]
  • A. filmDebut
    Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
  • B. featureDirectorialDebutOf
    Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
  • C. screenDebutInFeatureFilmDirectionFor chosen
    Indicates that an entity made their first appearance as a director in a feature film for the specified work.
  • D. directorStartYear
    Indicates the year in which an individual began serving as a director (e.g., of a film, organization, or project).
  • E. directorSince
    Indicates that one entity has held the role of director for another entity starting from a specified point in time.
  • F. None of above.

Provenance (4 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b7e5c48190a8fc84ae78d4bd66 completed March 12, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69ad9e078f7c8190813d9fcb4f5071fb completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.