Triple

T3871450
Position Surface form Disambiguated ID Type / Status
Subject Glee E92393 entity
Predicate portrayedBy P1507 FINISHED
Object Lea Michele 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 | Statement: [Glee, portrayedBy, Lea Michele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea Michele
Context triple: [Glee, portrayedBy, Lea Michele]
  • 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. 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."
  • C. 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."
  • D. Katharine McPhee
    Katharine McPhee is an American singer and actress who gained fame as an American Idol finalist and later for her leading role on the musical drama series "Smash."
  • E. Vanessa Hudgens
    Vanessa Hudgens is an American actress and singer best known for her breakout role in Disney's "High School Musical" franchise and subsequent work in film, television, and music.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec54b0848190a8d4a0e4df7b6227 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51249f1ec8190a1f6cc191bc94421 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.