Triple

T21480963
Position Surface form Disambiguated ID Type / Status
Subject Marnie Piper E529990 entity
Predicate mother P120 FINISHED
Object Gwen Piper 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: Gwen Piper | Statement: [Marnie Piper, mother, Gwen Piper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwen Piper
Context triple: [Marnie Piper, mother, Gwen Piper]
  • A. Gwen Piper chosen
    Gwen Piper is the cautious, magic-using mother in Disney’s Halloweentown film series who tries to keep her children away from their witch heritage and the supernatural world.
  • B. Helene Hadfield
    Helene Hadfield is the wife of Canadian astronaut Chris Hadfield and is known for her role in supporting his space career and public outreach.
  • C. Karen Crane
    Karen Crane is known as the daughter of the late American actor and "Hogan's Heroes" star Bob Crane.
  • D. Dorothy Pecaut
    Dorothy Pecaut was a local conservation advocate and philanthropist whose support for environmental education and natural preservation led to a nature center being named in her honor.
  • E. Harriet Bussey
    Harriet Bussey was the wife of American novelist and white supremacist propagandist Thomas Dixon Jr., known for her association with his controversial literary and political career.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.