Triple

T15308706
Position Surface form Disambiguated ID Type / Status
Subject Kill the Messenger E365971 entity
Predicate starring P1507 FINISHED
Object Rosemarie DeWitt 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: Rosemarie DeWitt | Statement: [Kill the Messenger, starring, Rosemarie DeWitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosemarie DeWitt
Context triple: [Kill the Messenger, starring, Rosemarie DeWitt]
  • A. Rosemarie DeWitt chosen
    Rosemarie DeWitt is an American actress known for her work in film and television, including prominent roles in projects like "Rachel Getting Married," "United States of Tara," and "La La Land."
  • B. Joyce DeWitt
    Joyce DeWitt is an American actress best known for playing the character Janet Wood on the classic sitcom "Three's Company."
  • C. Rosemarie Bowe
    Rosemarie Bowe was an American film and television actress and model active in the 1950s and 1960s.
  • D. Rosemary Clark Schrode
    Rosemary Clark Schrode was the third wife of acclaimed British actor Claude Rains, with whom she was married from 1935 until her death in 1956.
  • E. Deborah Van Valkenburgh
    Deborah Van Valkenburgh is an American actress best known for her roles in the cult film "The Warriors" and the 1980s sitcom "Too Close for Comfort."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
Created at: April 10, 2026, 3:16 a.m.