Triple

T20543527
Position Surface form Disambiguated ID Type / Status
Subject Jaycie Phelps E504406 entity
Predicate fullName P16 FINISHED
Object Jaycie Lynn Phelps 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: Jaycie Lynn Phelps | Statement: [Jaycie Phelps, fullName, Jaycie Lynn Phelps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaycie Lynn Phelps
Context triple: [Jaycie Phelps, fullName, Jaycie Lynn Phelps]
  • A. Jaycie Phelps chosen
    Jaycie Phelps is an American artistic gymnast best known as a member of the gold medal–winning U.S. women’s team at the 1996 Atlanta Olympics.
  • B. Rachel Phelps
    Rachel Phelps is the antagonistic team owner in the sports comedy film "Major League," known for scheming to make her baseball team lose so she can relocate the franchise.
  • C. Lauren Lyle
    Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
  • D. Mariel Margaret Hamm
    Mariel Margaret Hamm is a legendary American soccer player widely regarded as one of the greatest female footballers of all time and a key figure in popularizing women's soccer globally.
  • E. Courtney Eaton
    Courtney Eaton is an Australian actress and model best known for her roles in action and fantasy films such as "Mad Max: Fury Road" and "Gods of Egypt."
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a293feac8190b27848b64f2db1fe completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.