Triple

T3113813
Position Surface form Disambiguated ID Type / Status
Subject Lea Michele E65010 entity
Predicate fullName P16 FINISHED
Object Lea Michele Sarfati E65010 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: Lea Michele Sarfati | Statement: [Lea Michele, fullName, Lea Michele Sarfati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea Michele Sarfati
Context triple: [Lea Michele, fullName, Lea Michele Sarfati]
  • A. Lea Michele chosen
    Lea Michele is an American actress and singer best known for her starring role as Rachel Berry on the television series "Glee" and her work on Broadway in productions like "Spring Awakening."
  • B. Debby Ryan
    Debby Ryan is an American actress and singer best known for her leading roles in Disney Channel series like "Jessie" and films such as "Radio Rebel" and "Insatiable."
  • C. Megan Hilty
    Megan Hilty is an American actress and singer best known for her Broadway work and her role as Ivy Lynn on the television musical drama "Smash."
  • D. Laura Prepon
    Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
  • E. Laura Bell Bundy
    Laura Bell Bundy is an American actress and singer best known for her work on Broadway in shows like "Legally Blonde: The Musical" and for her roles in film and television.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43c79448190aa72f707319e8c5e completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039b11d4819095ee77d84d6e7b8a completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.