Triple

T5085634
Position Surface form Disambiguated ID Type / Status
Subject The Eternal Sea E114630 entity
Predicate starring P1507 FINISHED
Object Virginia Grey E315133 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: Virginia Grey | Statement: [The Eternal Sea, starring, Virginia Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Grey
Context triple: [The Eternal Sea, starring, Virginia Grey]
  • A. Virginia Grey chosen
    Virginia Grey was an American film and television actress known for her prolific career in Hollywood from the 1930s through the 1970s, often appearing in supporting roles across dramas, comedies, and westerns.
  • B. Virginia Thomas
    Virginia Thomas is an American conservative activist and attorney best known as the wife of U.S. Supreme Court Justice Clarence Thomas and for her involvement in right-wing political causes.
  • C. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • D. Eleanor Harding
    Eleanor Harding is a gentle, principled young woman in Anthony Trollope’s novel "The Warden," known for her moral sensitivity and loyalty amid the story’s ecclesiastical and social conflicts.
  • E. Eleanore Griffin
    Eleanore Griffin was an American screenwriter best known for her Academy Award-winning work on socially conscious films during Hollywood’s studio era.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd751db4f4819088b998d7af0e6f41 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13fd3a88190b5a665ba56fdd455 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:40 p.m.