Triple

T11488468
Position Surface form Disambiguated ID Type / Status
Subject Mr. Mercedes (TV series) E272342 entity
Predicate starring P1507 FINISHED
Object Kelly Lynch E457462 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: Kelly Lynch | Statement: [Mr. Mercedes (TV series), starring, Kelly Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Lynch
Context triple: [Mr. Mercedes (TV series), starring, Kelly Lynch]
  • A. Kelly Lynch chosen
    Kelly Lynch is an American actress known for her roles in films such as "Drugstore Cowboy," "Road House," and various television series.
  • B. Rachel Luttrell
    Rachel Luttrell is a Canadian-Tanzanian actress best known for playing Teyla Emmagan on the science fiction television series Stargate Atlantis.
  • C. Laura Lynch
    Laura Lynch is an American musician best known as a founding member and original bassist of the country music group the Dixie Chicks.
  • D. Mare Sheehan
    Mare Sheehan is a troubled small-town Pennsylvania detective and the central figure of the crime drama miniseries "Mare of Easttown," known for juggling a complex murder investigation with her own personal and family struggles.
  • E. Megan Ward
    Megan Ward is an American actress best known for her roles in 1990s films and television series, including the comedy film "Encino Man."
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a20df608190992543b4d7006f8a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.