Triple

T2900664
Position Surface form Disambiguated ID Type / Status
Subject Rita Wilson E62645 entity
Predicate name P16 FINISHED
Object Rita Wilson E62645 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: Rita Wilson | Statement: [Rita Wilson, name, Rita Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Wilson
Context triple: [Rita Wilson, name, Rita Wilson]
  • A. Rita Wilson chosen
    Rita Wilson is an American actress, singer, and producer known for her film and television roles as well as her long-standing marriage to actor Tom Hanks.
  • B. Wendy Raquel Robinson
    Wendy Raquel Robinson is an American actress best known for her comedic television roles, including Regina "Piggy" Grier on The Steve Harvey Show and Tasha Mack on The Game.
  • C. Mary Steenburgen
    Mary Steenburgen is an American actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Melvin and Howard," "Back to the Future Part III," and numerous character-driven dramas and comedies.
  • D. Patricia Heaton
    Patricia Heaton is an American actress best known for her role as Debra Barone on the hit sitcom "Everybody Loves Raymond."
  • E. Jill Clayburgh
    Jill Clayburgh was an American actress acclaimed for her intelligent, nuanced performances in 1970s and 1980s films, including multiple Academy Award–nominated roles.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b081308190af8875151fb11c4e completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b086531854819086ec55f2269c96e0 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:10 p.m.