Triple

T6449117
Position Surface form Disambiguated ID Type / Status
Subject Titanic (1953 film) E139817 entity
Predicate starring P1507 FINISHED
Object Frances Bergen E372607 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: Frances Bergen | Statement: [Titanic (1953 film), starring, Frances Bergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Bergen
Context triple: [Titanic (1953 film), starring, Frances Bergen]
  • A. Frances Bergen chosen
    Frances Bergen was an American actress and fashion model, best known as the wife of ventriloquist Edgar Bergen and the mother of actress Candice Bergen.
  • B. Georgia Engel
    Georgia Engel was an American actress best known for her soft-spoken, sweetly quirky roles in television comedies such as "The Mary Tyler Moore Show" and "Everybody Loves Raymond."
  • C. Lindsay Applegate
    Lindsay Applegate was a 19th-century American pioneer and trailblazer known for helping establish emigrant routes to the Pacific Northwest.
  • D. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • E. Sarah Miles
    Sarah Miles is an English actress known for her roles in films such as "Ryan's Daughter" and "Blow-Up."
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b1a61c81908610264c098d25b0 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd290c481909f543cc03eee98bf completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:47 p.m.