Triple

T16105395
Position Surface form Disambiguated ID Type / Status
Subject Lenny E390725 entity
Predicate starring P1507 FINISHED
Object Valerie Perrine E645275 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: Valerie Perrine | Statement: [Lenny, starring, Valerie Perrine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerie Perrine
Context triple: [Lenny, starring, Valerie Perrine]
  • A. Valerie Perrine chosen
    Valerie Perrine is an American actress and former model best known for her Oscar-nominated role in "Lenny" and her memorable performance as Eve Teschmacher in the Superman film series.
  • B. Suzanne Perrin
    Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
  • C. Joyce Giraud
    Joyce Giraud is a Puerto Rican actress, model, and television personality best known for her work in beauty pageants and reality TV, including "The Real Housewives of Beverly Hills."
  • D. Valerie Stearn
    Valerie Stearn is the wife of acclaimed American biographer and historian Ron Chernow.
  • E. Jeannine Renshaw
    Jeannine Renshaw is a television producer and writer known for her work on series such as "Good Girls."
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6b91a48190a04648d4cad2c4b1 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00456d5e74819080c838468ec015ef completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5 a.m.