Triple

T19407654
Position Surface form Disambiguated ID Type / Status
Subject Mark Bramble E485503 entity
Predicate collaboratedWith P435 FINISHED
Object Tammy Grimes NE NERFINISHED

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: Tammy Grimes | Statement: [Mark Bramble, collaboratedWith, Tammy Grimes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammy Grimes
Context triple: [Mark Bramble, collaboratedWith, Tammy Grimes]
  • A. Tammy Grimes chosen
    Tammy Grimes was an American actress and singer best known for her Tony Award–winning work on the Broadway stage, including originating the title role in "The Unsinkable Molly Brown."
  • B. Tamara Greer
    Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
  • C. Tamara Tunie
    Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
  • D. Julianne Simms
    Julianne Simms is a central character in the television series "Breakout Kings," known for her role as a brilliant but troubled analyst who assists U.S. Marshals in tracking down escaped convicts.
  • E. Teri Hudson
    Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257bad0c819088dd7729b6a36a94 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.