Triple

T10285691
Position Surface form Disambiguated ID Type / Status
Subject Mammy (Gone with the Wind) E241221 entity
Predicate servesFamily P93258 FINISHED
Object Ellen O’Hara E282365 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: Ellen O’Hara | Statement: [Mammy (Gone with the Wind), servesFamily, Ellen O’Hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen O’Hara
Context triple: [Mammy (Gone with the Wind), servesFamily, Ellen O’Hara]
  • A. Ellen O'Hara chosen
    Ellen O'Hara is a devout, aristocratic Southern matriarch in Margaret Mitchell's novel "Gone with the Wind," known for her calm strength and moral influence over her family and plantation.
  • B. Ellen Walsh
    Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • C. Ellen Pierson
    Ellen Pierson is a real estate professional best known for her brief marriage to the late attorney Robert Kardashian, father of the Kardashian family.
  • D. Ellen Drew
    Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
  • E. Elaine Orr
    Elaine Orr was the first wife of American poet E. E. Cummings, known primarily for her connection to his personal life and early career.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfbfa26c8190b536655d33112ddf completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8413f30c8190aebe1504e213b6cc completed April 14, 2026, 6:14 p.m.
Created at: April 6, 2026, 11:40 a.m.