Triple

T22894691
Position Surface form Disambiguated ID Type / Status
Subject Robert Shaw E568139 entity
Predicate spouse P13 FINISHED
Object Virginia Jansen NE NERFINISHED

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: Virginia Jansen | Statement: [Robert Shaw, spouse, Virginia Jansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Jansen
Context triple: [Robert Shaw, spouse, Virginia Jansen]
  • A. Virginia Jansen chosen
    Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
  • B. Lisa Janssen
    Lisa Janssen is a musician best known for her role as a past member of the influential indie rock band Neutral Milk Hotel.
  • C. Irene Jansen
    Irene Jansen is the central protagonist of the film noir thriller "Dark Passage," around whom the story’s mystery and tension revolve.
  • D. Karen Janszen
    Karen Janszen is an American screenwriter best known for her work on family and teen-oriented films such as "Free Willy 2: The Adventure Home" and "A Walk to Remember."
  • E. Diane Janssen
    Diane Janssen is a character on the television series "Lost," best known as the troubled and often conflicted mother of fugitive Kate Austen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc83d688190a8ab5ea0aad1e7ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.