Triple

T9926997
Position Surface form Disambiguated ID Type / Status
Subject Anne Frances Robbins E187947 entity
Predicate birthName P65 FINISHED
Object Anne Frances Robbins E187947 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: Anne Frances Robbins | Statement: [Anne Frances Robbins, birthName, Anne Frances Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Frances Robbins
Context triple: [Anne Frances Robbins, birthName, Anne Frances Robbins]
  • A. Anne Frances Robbins chosen
    Anne Frances Robbins, better known as Nancy Reagan, was an American actress and the First Lady of the United States from 1981 to 1989 as the wife of President Ronald Reagan.
  • B. Alix Kates Shulman
    Alix Kates Shulman is an American feminist writer and activist best known for her novel "Memoirs of an Ex-Prom Queen" and her contributions to second-wave feminism.
  • C. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • D. Zannie Beaty
    Zannie Beaty is a film producer known for work on the teen comedy movie "Easy A."
  • E. Pamela Gray
    Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
  • 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_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
Created at: March 30, 2026, 8:43 p.m.