Triple

T10809744
Position Surface form Disambiguated ID Type / Status
Subject The Yearling E255064 entity
Predicate mainCharacter P1183 FINISHED
Object Ora Baxter E11695 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: [The Yearling, mainCharacter, Ora Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ora Baxter
Context triple: [The Yearling, mainCharacter, Ora Baxter]
  • A. 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."
  • B. 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.
  • C. Linda Harrison
    Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
  • D. Dorothy McGuire chosen
    Dorothy McGuire was an American film and stage actress known for her sensitive, understated performances in classic mid-20th-century Hollywood dramas.
  • E. Jean Simmons
    Jean Simmons was a British actress acclaimed for her versatile performances in classic films from the 1940s through the 1960s, including major roles in both British cinema and Hollywood epics.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbce653481909b201a2d5871e129 completed April 19, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:18 p.m.