Triple

T10635311
Position Surface form Disambiguated ID Type / Status
Subject Michelle Pfeiffer E250563 entity
Predicate characterPortrayed P1507 FINISHED
Object Louanne Johnson E919951 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: Louanne Johnson | Statement: [Michelle Pfeiffer, characterPortrayed, Louanne Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louanne Johnson
Context triple: [Michelle Pfeiffer, characterPortrayed, Louanne Johnson]
  • A. LouAnne Johnson chosen
    LouAnne Johnson is an American teacher and author best known for her memoir about working with at-risk high school students, which inspired the film "Dangerous Minds."
  • B. Jeanne Johnson
    Jeanne Johnson is known as the wife of American actor and voice actor Clancy Brown.
  • C. Jeanie Drynan
    Jeanie Drynan is an Australian actress best known for her film and television work, including a prominent role in the acclaimed comedy-drama "Muriel's Wedding."
  • D. Judy Johnson
    Judy Johnson was a Hall of Fame Negro Leagues third baseman renowned for his exceptional fielding, leadership, and consistent hitting during the early 20th century.
  • E. Kathy Johnson
    Kathy Johnson is a figure skating coach best known for working with Canadian Olympic and world champion Patrick Chan.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:03 p.m.