Triple

T16911828
Position Surface form Disambiguated ID Type / Status
Subject Norma Jennings E410214 entity
Predicate supportsCharacter P16523 FINISHED
Object Shelly Johnson NE NERFINISHED

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: Shelly Johnson | Statement: [Norma Jennings, supportsCharacter, Shelly Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelly Johnson
Context triple: [Norma Jennings, supportsCharacter, Shelly Johnson]
  • A. Shelly Johnson
    Shelly Johnson is an American cinematographer known for his work on major feature films and television projects.
  • B. Shelly Johnson chosen
    Shelly Johnson is a young waitress at the Double R Diner in the television series "Twin Peaks," known for her troubled marriage to the abusive Leo Johnson and her affair with Bobby Briggs.
  • C. Jennifer Johnson
    Jennifer Johnson is known as the mother of Quake, a character associated with this relationship.
  • D. Trish Johnson
    Trish Johnson is an English professional golfer known for her multiple victories on the Ladies European Tour and long-standing success in women’s golf.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
Created at: April 10, 2026, 5:30 a.m.