Triple

T11154528
Position Surface form Disambiguated ID Type / Status
Subject Lynn Bari E263871 entity
Predicate spouse P13 FINISHED
Object Walter Kane
Walter Kane was the husband of American film actress Lynn Bari, known primarily in relation to her personal life rather than for a prominent public career of his own.
 E908512 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: Walter Kane | Statement: [Lynn Bari, spouse, Walter Kane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walter Kane
Context triple: [Lynn Bari, spouse, Walter Kane]
  • A. Walter Hobbs
    Walter Hobbs is the work-obsessed children's book publisher and estranged father of Buddy in the Christmas comedy film "Elf."
  • B. Andy Starke
    Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
  • C. Paul Wattson
    Paul Wattson was an American Episcopal then Catholic priest best known for his pioneering work in promoting ecumenism and Christian unity in the early 20th century.
  • D. William Wise
    William Wise is an actor known for his role in the acclaimed drama film "In the Bedroom."
  • E. Allan Scott
    Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
  • 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: Walter Kane
Triple: [Lynn Bari, spouse, Walter Kane]
Generated description
Walter Kane was the husband of American film actress Lynn Bari, known primarily in relation to her personal life rather than for a prominent public career of his own.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walter Kane
Target entity description: Walter Kane was the husband of American film actress Lynn Bari, known primarily in relation to her personal life rather than for a prominent public career of his own.
  • A. Walter Hobbs
    Walter Hobbs is the work-obsessed children's book publisher and estranged father of Buddy in the Christmas comedy film "Elf."
  • B. Andy Starke
    Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
  • C. Paul Wattson
    Paul Wattson was an American Episcopal then Catholic priest best known for his pioneering work in promoting ecumenism and Christian unity in the early 20th century.
  • D. William Wise
    William Wise is an actor known for his role in the acclaimed drama film "In the Bedroom."
  • E. Allan Scott
    Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e872ffbc8190b8a3bbd912115342 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46341f224819099dd618b377e5bc2 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c3448348190b2c062d21771066d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e46dadbc5c8190b41279a05731dc95 completed April 19, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:28 p.m.