Triple

T7940215
Position Surface form Disambiguated ID Type / Status
Subject Christopher Lloyd E184369 entity
Predicate spouse P13 FINISHED
Object Kay Tornborg
Kay Tornborg is an American artist and the former wife of actor Christopher Lloyd.
 E703666 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: Kay Tornborg | Statement: [Christopher Lloyd, spouse, Kay Tornborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kay Tornborg
Context triple: [Christopher Lloyd, spouse, Kay Tornborg]
  • A. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • B. Kaja Sundsten
    Kaja Sundsten was the second wife of American actor and director Burgess Meredith, with whom she was married during the 1930s and 1940s.
  • C. Jayne-Ann Tenggren
    Jayne-Ann Tenggren is a film producer best known for her work on the acclaimed World War I drama "1917."
  • D. Anne Borg
    Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
  • E. Anna Wahlgren
    Anna Wahlgren was a Swedish author and influential parenting advisor best known for her controversial childcare books and public role in debates on child-rearing.
  • 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: Kay Tornborg
Triple: [Christopher Lloyd, spouse, Kay Tornborg]
Generated description
Kay Tornborg is an American artist and the former wife of actor Christopher Lloyd.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kay Tornborg
Target entity description: Kay Tornborg is an American artist and the former wife of actor Christopher Lloyd.
  • A. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • B. Kaja Sundsten
    Kaja Sundsten was the second wife of American actor and director Burgess Meredith, with whom she was married during the 1930s and 1940s.
  • C. Jayne-Ann Tenggren
    Jayne-Ann Tenggren is a film producer best known for her work on the acclaimed World War I drama "1917."
  • D. Anne Borg
    Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
  • E. Anna Wahlgren
    Anna Wahlgren was a Swedish author and influential parenting advisor best known for her controversial childcare books and public role in debates on child-rearing.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0ac8bc8190b4e4f79b15c316b3 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe019a094819082baecdcb007c84f completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cbe4f0e94c8190941794411d7cdde3 completed March 31, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69cc3363ba748190b04a4a2cafbb3290 completed March 31, 2026, 8:49 p.m.
Created at: March 30, 2026, 5:08 p.m.