Triple

T9347021
Position Surface form Disambiguated ID Type / Status
Subject Donna Reed E224918 entity
Predicate name P16 FINISHED
Object Donna Reed E224918 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: Donna Reed | Statement: [Donna Reed, name, Donna Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Reed
Context triple: [Donna Reed, name, Donna Reed]
  • A. Donna Reed chosen
    Donna Reed was an American actress best known for her roles in the film "It's a Wonderful Life" and the television series "The Donna Reed Show."
  • B. Dina Merrill
    Dina Merrill was an American actress, heiress, and philanthropist known for her elegant screen presence in mid-20th-century Hollywood films and television.
  • C. Evelyn Keyes
    Evelyn Keyes was an American film actress best known for her role as Suellen O'Hara in the classic 1939 film "Gone with the Wind."
  • D. Nancy Richardson
    Nancy Richardson is a film editor best known for her work on movies such as the biographical sports comedy-drama "Fighting with My Family."
  • E. Teresa Wright
    Teresa Wright was an acclaimed American film actress best known for her Academy Award–winning and nominated performances in classic 1940s films such as "Mrs. Miniver," "The Pride of the Yankees," and "The Best Years of Our Lives."
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0f4c4c8190a94c0d44ef349d7d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100cc26248190baf12eb7f8aca74a completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:41 p.m.