Triple

T10015133
Position Surface form Disambiguated ID Type / Status
Subject Virginia Katz E199467 entity
Predicate spouse P13 FINISHED
Object Allan Jacobsen
Allan Jacobsen is known primarily as the husband of American film editor Virginia Katz.
 E840069 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: Allan Jacobsen | Statement: [Virginia Katz, spouse, Allan Jacobsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allan Jacobsen
Context triple: [Virginia Katz, spouse, Allan Jacobsen]
  • A. Erik Salomonsen
    Erik Salomonsen, better known as Erik Erikson, was a German-American developmental psychologist and psychoanalyst renowned for his theory of psychosocial development across the lifespan.
  • B. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • C. Andreas Johnsen
    Andreas Johnsen is a Danish documentary filmmaker known for socially and politically engaged films, including his acclaimed portrait of Chinese artist Ai Weiwei.
  • D. William Jøhnk Nielsen
    William Jøhnk Nielsen is a Danish actor best known for his role in the Academy Award-winning film "In a Better World."
  • E. Anders Bagge
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • 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: Allan Jacobsen
Triple: [Virginia Katz, spouse, Allan Jacobsen]
Generated description
Allan Jacobsen is known primarily as the husband of American film editor Virginia Katz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allan Jacobsen
Target entity description: Allan Jacobsen is known primarily as the husband of American film editor Virginia Katz.
  • A. Erik Salomonsen
    Erik Salomonsen, better known as Erik Erikson, was a German-American developmental psychologist and psychoanalyst renowned for his theory of psychosocial development across the lifespan.
  • B. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • C. Andreas Johnsen
    Andreas Johnsen is a Danish documentary filmmaker known for socially and politically engaged films, including his acclaimed portrait of Chinese artist Ai Weiwei.
  • D. William Jøhnk Nielsen
    William Jøhnk Nielsen is a Danish actor best known for his role in the Academy Award-winning film "In a Better World."
  • E. Anders Bagge
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5f15c6c8190b52924d6f86d63e0 completed April 5, 2026, 7:20 p.m.
NEDg Description generation batch_69d2b741cad481909f04e2f8da68753c completed April 5, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69d2b805afa08190a43745d764a75050 completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 8:52 p.m.