Triple

T10888519
Position Surface form Disambiguated ID Type / Status
Subject Penny Baxter E257114 entity
Predicate spouse P13 FINISHED
Object Ora Baxter E915790 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: Ora Baxter | Statement: [Penny Baxter, spouse, Ora Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ora Baxter
Context triple: [Penny Baxter, spouse, Ora Baxter]
  • A. Ora Baxter chosen
    Ora Baxter is a fictional character portrayed by actress Jane Wyman, likely featured in a mid-20th-century film or television production.
  • B. 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."
  • C. Fay Bainter
    Fay Bainter was an American stage and film actress, active from the silent era through the mid-20th century, who became one of the first performers to receive Academy Award nominations in both the Best Actress and Best Supporting Actress categories in the same year.
  • D. Linda Harrison
    Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
  • E. Dorothy McGuire
    Dorothy McGuire was an American film and stage actress known for her sensitive, understated performances in classic mid-20th-century Hollywood dramas.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75202b7248190adeb5780fc5b9199 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5e890bb9c81908c316a6423e650e6 completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:21 p.m.