Triple

T20258163
Position Surface form Disambiguated ID Type / Status
Subject Camilla Sparv E498757 entity
Predicate spouse P13 FINISHED
Object Fred Kolber
Fred Kolber is best known as the husband of Swedish actress Camilla Sparv.
 E1441243 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: Fred Kolber | Statement: [Camilla Sparv, spouse, Fred Kolber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fred Kolber
Context triple: [Camilla Sparv, spouse, Fred Kolber]
  • A. Larry Kolber
    Larry Kolber is a songwriter best known for co-writing pop hits in the 1960s, often in collaboration with fellow composer Jack Keller.
  • B. Jonathan Kolb
    Jonathan Kolb is a WNBA executive best known for building the New York Liberty into a championship-contending franchise as their general manager.
  • C. Fred Kohlmar
    Fred Kohlmar was an American film producer active during Hollywood's studio era, known for overseeing a variety of popular comedies and musicals.
  • D. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • E. George Stelzner
    George Stelzner is a television producer best known for serving as an executive producer on the biographical miniseries "Fosse/Verdon."
  • 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: Fred Kolber
Triple: [Camilla Sparv, spouse, Fred Kolber]
Generated description
Fred Kolber is best known as the husband of Swedish actress Camilla Sparv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fred Kolber
Target entity description: Fred Kolber is best known as the husband of Swedish actress Camilla Sparv.
  • A. Larry Kolber
    Larry Kolber is a songwriter best known for co-writing pop hits in the 1960s, often in collaboration with fellow composer Jack Keller.
  • B. Jonathan Kolb
    Jonathan Kolb is a WNBA executive best known for building the New York Liberty into a championship-contending franchise as their general manager.
  • C. Fred Kohlmar
    Fred Kohlmar was an American film producer active during Hollywood's studio era, known for overseeing a variety of popular comedies and musicals.
  • D. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • E. George Stelzner
    George Stelzner is a television producer best known for serving as an executive producer on the biographical miniseries "Fosse/Verdon."
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c7296c819092860942de8f28d5 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bafc4c088190ae448e2cfca1de82 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbddde1c81908733796442e6a562 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bca1021c8190a0e89bad15e87bc1 completed May 16, 2026, 6:51 p.m.
Created at: April 11, 2026, 11:41 p.m.