Triple

T22312704
Position Surface form Disambiguated ID Type / Status
Subject Franklin Birch E551560 entity
Predicate associatedWith P37 FINISHED
Object Anna Dover 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: Anna Dover | Statement: [Franklin Birch, associatedWith, Anna Dover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Dover
Context triple: [Franklin Birch, associatedWith, Anna Dover]
  • A. Anna Dover chosen
    Anna Dover is the young daughter who goes missing in the 2013 thriller film "Prisoners," driving her father Keller Dover’s desperate search.
  • B. Jane Livesey
    Jane Livesey is best known as the wife of the late English actor Bob Hoskins.
  • C. Jane Sawyer
    Jane Sawyer is a fictional character who serves as the guardian of Rebecca Randall in the classic children’s novel "Rebecca of Sunnybrook Farm."
  • D. Sarah Sawyer
    Sarah Sawyer is a fictional character known as the wife of former FBI agent and security expert Will Sawyer in the action film "Skyscraper."
  • E. Mary Jenkins
    Mary Jenkins is the sharp-witted, hardworking apartment building manager portrayed by Marla Gibbs on the sitcom "227."
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.