Triple

T14161232
Position Surface form Disambiguated ID Type / Status
Subject Penny Lover E350949 entity
Predicate writer P1360 FINISHED
Object Brenda Harvey-Richie E220382 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: Brenda Harvey-Richie | Statement: [Penny Lover, writer, Brenda Harvey-Richie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenda Harvey-Richie
Context triple: [Penny Lover, writer, Brenda Harvey-Richie]
  • A. Brenda Harvey Richie chosen
    Brenda Harvey Richie is an American music industry figure best known as Lionel Richie’s first wife and longtime collaborator and supporter during the early years of his solo career.
  • B. Brenda Holsinger
    Brenda Holsinger is best known as the wife of U.S. Army General Norman Schwarzkopf Jr., the commander of coalition forces in the Gulf War.
  • C. Brenda Vaccaro
    Brenda Vaccaro is an American actress known for her distinctive husky voice and acclaimed performances in film, television, and theater since the 1960s.
  • D. Marcia Harvey
    Marcia Harvey is an American author and the first wife of comedian and television host Steve Harvey, known for her poetry and writings on life, faith, and relationships.
  • E. Brenda Joyce
    Brenda Joyce was an American film actress best known for her roles in 1930s and 1940s Hollywood productions, including several Tarzan 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61393f308190bb357e2bd1916f94 completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324772e4819092aef7826b39b144 completed May 8, 2026, 12:45 a.m.
Created at: April 10, 2026, 12:59 a.m.