Triple

T16799534
Position Surface form Disambiguated ID Type / Status
Subject Howard Hamlin E408318 entity
Predicate associatedWith P37 FINISHED
Object Kim Wexler E408316 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: Kim Wexler | Statement: [Howard Hamlin, associatedWith, Kim Wexler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Wexler
Context triple: [Howard Hamlin, associatedWith, Kim Wexler]
  • A. Kim Wexler chosen
    Kim Wexler is a highly skilled and morally conflicted attorney whose complex relationship with Jimmy McGill/Saul Goodman is central to the character-driven drama of Better Call Saul.
  • B. Howard Hamlin
    Howard Hamlin is a high-powered, image-conscious attorney and partner at the law firm Hamlin, Hamlin & McGill in the television series "Better Call Saul."
  • C. Michael Ross
    Michael Ross is a film editor known for his work on the documentary "The True Cost," which examines the global impact of the fashion industry.
  • D. Michael Ross
    Michael Ross was an American television writer and producer best known for co-creating influential sitcoms such as The Jeffersons.
  • E. Risa Gertner
    Risa Gertner is a film producer known for her work on the romantic comedy "The First Time."
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2acd3548190a5f6ce7d1cf74117 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28b77188190b8d87fca1b5dde5d completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.