Triple

T6718270
Position Surface form Disambiguated ID Type / Status
Subject Christopher Buckley E153327 entity
Predicate mother P120 FINISHED
Object Patricia Buckley E227405 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: Patricia Buckley | Statement: [Christopher Buckley, mother, Patricia Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Buckley
Context triple: [Christopher Buckley, mother, Patricia Buckley]
  • A. Patricia Taylor Buckley chosen
    Patricia Taylor Buckley was a prominent American socialite and philanthropist, best known as the longtime wife and partner of conservative author and commentator William F. Buckley Jr.
  • B. Marylouise Burke
    Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
  • C. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • D. Marjorie Leonard Brennan
    Marjorie Leonard Brennan was the wife of U.S. Supreme Court Justice William J. Brennan Jr.
  • E. Patricia Blair
    Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d12765a48190b485176dc2ffa0fa completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748994250819092ba9bf4fd3f5b90 completed March 28, 2026, 3:18 a.m.
Created at: March 27, 2026, 2:07 p.m.