Triple

T16799615
Position Surface form Disambiguated ID Type / Status
Subject Patrick Fabian E408320 entity
Predicate playedCharacter P1507 FINISHED
Object Howard Hamlin E408318 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: Howard Hamlin | Statement: [Patrick Fabian, playedCharacter, Howard Hamlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Hamlin
Context triple: [Patrick Fabian, playedCharacter, Howard Hamlin]
  • A. Howard Hamlin chosen
    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."
  • B. Harvey Specter
    Harvey Specter is a charismatic, sharp-tongued closer and high-powered corporate lawyer from the television series "Suits," known for his confidence, wit, and unorthodox tactics.
  • C. Kim Wexler
    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.
  • D. Mike Ross
    Mike Ross is a brilliant but unlicensed lawyer with a photographic memory who becomes a central figure at a prestigious New York law firm in the TV series "Suits."
  • E. Mike Ross
    Mike Ross is an American sculptor best known for his large-scale public installations, including monumental works featured in unconventional art exhibitions.
  • 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.