Triple

T10465447
Position Surface form Disambiguated ID Type / Status
Subject An Education E246782 entity
Predicate producer P490 FINISHED
Object Amanda Posey E790103 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: Amanda Posey | Statement: [An Education, producer, Amanda Posey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Posey
Context triple: [An Education, producer, Amanda Posey]
  • A. Amanda Posey chosen
    Amanda Posey is a British film producer known for her work on acclaimed literary adaptations and character-driven dramas.
  • B. Amanda Naughton
    Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
  • C. Amanda Forsyth
    Amanda Forsyth is a Canadian cellist renowned for her solo, chamber, and orchestral performances, including frequent collaborations with her husband, violinist and conductor Pinchas Zukerman.
  • D. Amanda Coe
    Amanda Coe is a British screenwriter and novelist known for her work on acclaimed television dramas and literary fiction.
  • E. Amanda Clifton
    Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b744b534819095b272ba8943f7b7 completed April 20, 2026, 5:19 a.m.
Created at: April 6, 2026, 12:19 p.m.