Triple

T3003769
Position Surface form Disambiguated ID Type / Status
Subject Christina Hendricks E81848 entity
Predicate workedWith P398 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: [Christina Hendricks, workedWith, Jon Hamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Hamm
Context triple: [Christina Hendricks, workedWith, 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. 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.
  • C. 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."
  • D. John Ehle
    John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
  • E. John Slattery
    John Slattery is an American actor and director best known for his role as Roger Sterling on the television series "Mad Men."
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a149b248190ac4f11afc4871cc1 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5302c881908294827106b314e4 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:59 p.m.