Triple

T9926996
Position Surface form Disambiguated ID Type / Status
Subject Anne Frances Robbins E187947 entity
Predicate alsoKnownAs P39 FINISHED
Object Nancy Davis E757186 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: Nancy Davis | Statement: [Anne Frances Robbins, alsoKnownAs, Nancy Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Davis
Context triple: [Anne Frances Robbins, alsoKnownAs, Nancy Davis]
  • A. Nancy Davis chosen
    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.
  • B. Patti Davis
    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.
  • C. Betty Shannon
    Betty Shannon was an American mathematician and computer programmer known for her work at Bell Labs and as the wife and intellectual partner of information theory pioneer Claude Shannon.
  • D. Jennie Eisenhower
    Jennie Eisenhower is an American actress and director, and a granddaughter of both President Richard Nixon and President Dwight D. Eisenhower.
  • E. Carol Cleveland
    Carol Cleveland is a British-American actress and comedian best known for her frequent appearances in the Monty Python television series and films.
  • 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.