Triple

T14397823
Position Surface form Disambiguated ID Type / Status
Subject Can't Stop the Music E356994 entity
Predicate hasCastMember P2308 FINISHED
Object Tammy Grimes E301969 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: Tammy Grimes | Statement: [Can't Stop the Music, hasCastMember, Tammy Grimes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammy Grimes
Context triple: [Can't Stop the Music, hasCastMember, 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 (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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.