Triple

T8669558
Position Surface form Disambiguated ID Type / Status
Subject David Levien E205759 entity
Predicate spouse P13 FINISHED
Object Soo Levien
Soo Levien is the wife of American screenwriter, novelist, and producer David Levien.
E750068 NE FINISHED

How this triple was built (4 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: Soo Levien | Statement: [David Levien, spouse, Soo Levien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soo Levien
Context triple: [David Levien, spouse, Soo Levien]
  • A. Sonya Levien
    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. Leona Samish
    Leona Samish is the central character in Arthur Laurents and Richard Rodgers’ musical "Do I Hear a Waltz?", typically portrayed as a lonely American tourist in Venice searching for love and self-discovery.
  • C. Liana Kangas
    Liana Kangas is a comic book artist and writer known for her work on independent and creator-owned titles in the contemporary comics scene.
  • D. Anna Lie
    Anna Lie was the wife of Norwegian mathematician Sophus Lie, known primarily in historical records through her marriage to the influential founder of Lie group theory.
  • E. Krishna Levy
    Krishna Levy is a French film composer known for his atmospheric and emotionally driven scores for contemporary cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Soo Levien
Triple: [David Levien, spouse, Soo Levien]
Generated description
Soo Levien is the wife of American screenwriter, novelist, and producer David Levien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soo Levien
Target entity description: Soo Levien is the wife of American screenwriter, novelist, and producer David Levien.
  • A. Sonya Levien
    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. Leona Samish
    Leona Samish is the central character in Arthur Laurents and Richard Rodgers’ musical "Do I Hear a Waltz?", typically portrayed as a lonely American tourist in Venice searching for love and self-discovery.
  • C. Liana Kangas
    Liana Kangas is a comic book artist and writer known for her work on independent and creator-owned titles in the contemporary comics scene.
  • D. Anna Lie
    Anna Lie was the wife of Norwegian mathematician Sophus Lie, known primarily in historical records through her marriage to the influential founder of Lie group theory.
  • E. Krishna Levy
    Krishna Levy is a French film composer known for his atmospheric and emotionally driven scores for contemporary cinema.
  • F. None of above. chosen

Provenance (5 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd2b996481908da33fbd95494376 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69cece8fcbcc8190832a66287bc8f833 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecff48600819086a15700cb947056 completed April 2, 2026, 8:22 p.m.
Created at: March 30, 2026, 6:31 p.m.