Triple

T22031106
Position Surface form Disambiguated ID Type / Status
Subject Mara Elizabeth Wilson E544087 entity
Predicate name P16 FINISHED
Object Mara Elizabeth Wilson 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: Mara Elizabeth Wilson | Statement: [Mara Elizabeth Wilson, name, Mara Elizabeth Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mara Elizabeth Wilson
Context triple: [Mara Elizabeth Wilson, name, Mara Elizabeth Wilson]
  • A. Mara Elizabeth Wilson chosen
    Mara Elizabeth Wilson is an American former child actress and writer best known for her roles in films like "Matilda," "Mrs. Doubtfire," and "Miracle on 34th Street."
  • B. Marissa Wilson
    Marissa Wilson is the retired spy-turned-mother protagonist in the family action film "Spy Kids: All the Time in the World."
  • C. Tara Wilson
    Tara Wilson is a fictional attorney and main character from the television series "Boston Legal," known for her intelligence, ambition, and complex personal relationships within the law firm.
  • D. Tara Wilson
    Tara Wilson is a Canadian-born actress and former model best known as the wife of "Sex and the City" actor Chris Noth.
  • E. Jane Wilson
    Jane Wilson is known primarily as the spouse of American physicist and Fermilab founding director Robert R. Wilson.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127edd5b48190a9aeb2840105c181 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.