Triple

T3653249
Position Surface form Disambiguated ID Type / Status
Subject Bad Times at the El Royale E77469 entity
Predicate castMember P1668 FINISHED
Object Jon Hamm E268669 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: Jon Hamm | Statement: [Bad Times at the El Royale, castMember, Jon Hamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Hamm
Context triple: [Bad Times at the El Royale, castMember, Jon Hamm]
  • A. Jon Hamm chosen
    Jon Hamm is an American actor best known for his acclaimed portrayal of Don Draper on the television drama series "Mad Men."
  • B. Peter Krause
    Peter Krause is an American actor best known for his leading roles in television dramas such as Six Feet Under, Sports Night, and Parenthood.
  • C. Noah Wyle
    Noah Wyle is an American actor best known for his role as Dr. John Carter on the medical drama "ER" and for leading roles in various science fiction and adventure television series and films.
  • D. James Spader
    James Spader is an American actor known for his distinctive voice and intense, often eccentric performances in film and television, including acclaimed roles in series like "Boston Legal" and "The Blacklist."
  • E. John Ehle
    John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b805a48190a7bc230a382365d6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4541dc8190b794eae019dcffbf completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.