Triple

T5557990
Position Surface form Disambiguated ID Type / Status
Subject Mother Machree (1928 film) E145694 entity
Predicate screenwriter P2831 FINISHED
Object Sonya Levien E139994 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: Sonya Levien | Statement: [Mother Machree (1928 film), screenwriter, Sonya Levien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonya Levien
Context triple: [Mother Machree (1928 film), screenwriter, Sonya Levien]
  • A. Sonya Levien chosen
    Sonya Levien was a prominent American screenwriter known for her work on numerous Hollywood films from the silent era through the 1950s, often adapting literary and theatrical works for the screen.
  • B. Sonya Kalish
    Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
  • C. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • D. Elka Ostrovsky
    Elka Ostrovsky is a sharp-tongued, eccentric elderly woman and main character on the sitcom "Hot in Cleveland," portrayed by Betty White.
  • E. Anita Goshkin
    Anita Goshkin was the first wife of Nobel Prize–winning American novelist Saul Bellow.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201529a88190bf0135e032b048ea completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a139a20c819085f0f4b5105b3aef completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:36 p.m.