Triple

T7644337
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Groff E173082 entity
Predicate notableCollaboration P8554 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: [Jonathan Groff, notableCollaboration, Lea Michele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea Michele
Context triple: [Jonathan Groff, notableCollaboration, 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. Naya Rivera
    Naya Rivera was an American actress and singer best known for her breakout role as Santana Lopez on the television series "Glee."
  • 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. 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."
  • E. Teala Loring
    Teala Loring was an American film actress of the 1940s, known for her supporting roles in Hollywood features and as one of several sisters who also worked in the entertainment industry.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.