Triple

T7499455
Position Surface form Disambiguated ID Type / Status
Subject A Time to Kill E177220 entity
Predicate characterPortrayed P1507 FINISHED
Object Ellen Roark E668093 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: Ellen Roark | Statement: [A Time to Kill, characterPortrayed, Ellen Roark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Roark
Context triple: [A Time to Kill, characterPortrayed, Ellen Roark]
  • A. Ellen Roark chosen
    Ellen Roark is a passionate and idealistic young law student who assists the defense in John Grisham’s legal thriller "A Time to Kill."
  • B. Rose Loomis
    Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
  • C. Lillian Langdon
    Lillian Langdon was an American silent film actress active in the early 20th century, known for her character roles in numerous dramas and melodramas.
  • D. Sarah Davenport
    Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
  • E. Alice Delbridge
    Alice Delbridge was the first wife of American actor Ralph Bellamy, known primarily in relation to his early personal life.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef2e4588190bedda247ed83bd88 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:44 p.m.