Triple

T5042908
Position Surface form Disambiguated ID Type / Status
Subject The Blue and the Gray E113586 entity
Predicate stars P1956 FINISHED
Object Colleen Dewhurst E498846 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: Colleen Dewhurst | Statement: [The Blue and the Gray, stars, Colleen Dewhurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colleen Dewhurst
Context triple: [The Blue and the Gray, stars, Colleen Dewhurst]
  • A. Colleen Dewhurst chosen
    Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
  • B. Colleen Bell
    Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
  • C. Maureen Garrett
    Maureen Garrett is an American actress best known for her long-running role as Holly Norris on the soap opera "Guiding Light."
  • D. Nancy McEldowney
    Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
  • E. Colleen McNally
    Colleen McNally was the wife of prominent American politician and newspaper publisher William F. Knowland.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad5851b481908242f6d88a78a08a completed March 28, 2026, 10:28 a.m.
Created at: March 20, 2026, 1:37 p.m.