Triple

T1572080
Position Surface form Disambiguated ID Type / Status
Subject John Houseman E33561 entity
Predicate taught P335 FINISHED
Object Patti LuPone E179088 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: Patti LuPone | Statement: [John Houseman, taught, Patti LuPone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patti LuPone
Context triple: [John Houseman, taught, Patti LuPone]
  • A. Patti LuPone chosen
    Patti LuPone is a celebrated American stage and screen actress and singer, renowned for her powerful voice and iconic performances in major Broadway musicals.
  • B. Christine Ebersole
    Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
  • C. Anne McDonnell
    Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
  • D. Debra Messing
    Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
  • E. Bette Midler
    Bette Midler is an American singer, actress, and comedian renowned for her powerful vocals, theatrical performances, and acclaimed work in film, television, and on stage.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ba6a4081909f75faf470c53d86 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.