Triple

T8975541
Position Surface form Disambiguated ID Type / Status
Subject Virginia Thomas E214377 entity
Predicate name P16 FINISHED
Object Virginia Thomas E214377 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 Thomas | Statement: [Virginia Thomas, name, Virginia Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Thomas
Context triple: [Virginia Thomas, name, Virginia Thomas]
  • A. Virginia Thomas chosen
    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.
  • B. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • C. Virginia Gregg
    Virginia Gregg was an American character actress and prolific radio performer known for her numerous supporting roles in film and television from the 1940s through the 1970s.
  • D. Ruth Cunningham
    Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
  • E. Susan Holbert McDaniel
    Susan Holbert McDaniel was the mother of pioneering African American actress Hattie McDaniel, the first Black performer to win an Academy Award.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6784d1808190899c980f76084ff8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96aa46c81908b95a23fd2b4da57 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.