Triple

T14833269
Position Surface form Disambiguated ID Type / Status
Subject Amanda Anka E348761 entity
Predicate sibling P363 FINISHED
Object Anthea Anka E406045 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: Anthea Anka | Statement: [Amanda Anka, sibling, Anthea Anka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthea Anka
Context triple: [Amanda Anka, sibling, Anthea Anka]
  • A. Wanda Tuchock
    Wanda Tuchock was an American screenwriter and film director active during Hollywood’s early sound era, known as one of the few women writing and directing studio features in the 1930s.
  • B. Eva Soper
    Eva Soper was a British artist and illustrator, known particularly for her work on children's books and for being part of the artistic Soper family.
  • C. Anna Anka chosen
    Anna Anka is a Swedish-American model, actress, and reality television personality who gained wider attention through her marriage to singer Paul Anka and appearances on Scandinavian reality TV.
  • D. Fay Kanin
    Fay Kanin was an American screenwriter, playwright, and producer known for her socially conscious work in film and television and her leadership role as president of the Academy of Motion Picture Arts and Sciences.
  • E. Evelyn Ankers
    Evelyn Ankers was a British-American actress best known as a leading lady in 1940s Universal horror films.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9685aa5c8190b4e4d82af80f36f8 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:52 a.m.