Triple

T11377875
Position Surface form Disambiguated ID Type / Status
Subject Charlie Graham E269515 entity
Predicate hasGrandmother P3524 FINISHED
Object Ellen Leigh E929528 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 Leigh | Statement: [Charlie Graham, hasGrandmother, Ellen Leigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Leigh
Context triple: [Charlie Graham, hasGrandmother, Ellen Leigh]
  • A. Ellen Leigh chosen
    Ellen Leigh is a mysterious and malevolent matriarch in the horror film "Hereditary," whose occult influence drives the tragic events that befall her family.
  • B. 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.
  • C. Ellen Louise
    Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • D. Ellen Lacey
    Ellen Lacey is a fictional character from the 1954 film noir "Crime Wave," involved in the story’s tense criminal underworld and police investigation.
  • E. Ellen Walsh
    Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e713122ef8819086c8d7e37c00a1c2 completed April 21, 2026, 6:02 a.m.
Created at: April 8, 2026, 9:33 p.m.