Triple

T9927031
Position Surface form Disambiguated ID Type / Status
Subject Anne Frances Robbins E187947 entity
Predicate child P120 FINISHED
Object Patti Davis E33295 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: Patti Davis | Statement: [Anne Frances Robbins, child, Patti Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patti Davis
Context triple: [Anne Frances Robbins, child, Patti Davis]
  • A. Patti Davis chosen
    Patti Davis is an American author and actress best known as the daughter of former U.S. President Ronald Reagan and First Lady Nancy Reagan.
  • B. Nancy Davis
    Nancy Davis, better known as Nancy Reagan, was an American film actress and the First Lady of the United States as the wife of President Ronald Reagan.
  • C. Hilaria Baldwin
    Hilaria Baldwin is a yoga instructor, wellness personality, and author known for her marriage to actor Alec Baldwin and her presence in American media and social circles.
  • D. Maria Shriver
    Maria Shriver is an American journalist, author, and former First Lady of California, known for her work with NBC News and her advocacy on issues such as Alzheimer's disease and women's empowerment.
  • E. Sarah Baldwin
    Sarah Baldwin is an actress known for appearing in the romantic comedy film "Something Borrowed."
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59b85f88190899ea279fc02660f completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228c23a2c81908fa2cb3a4f90d198 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:43 p.m.