Triple

T3102315
Position Surface form Disambiguated ID Type / Status
Subject Quincy Jones E64745 entity
Predicate spouse P13 FINISHED
Object Ulla Andersson
Ulla Andersson is a Swedish model best known for her marriage to legendary music producer Quincy Jones in the 1960s.
E326731 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: Ulla Andersson | Statement: [Quincy Jones, spouse, Ulla Andersson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulla Andersson
Context triple: [Quincy Jones, spouse, Ulla Andersson]
  • A. Viveca Lindfors
    Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
  • B. Heléne Andersson
    Heléne Andersson is known as one of the children of Benny Andersson, the Swedish musician and composer from the pop group ABBA.
  • C. Therese Andersson
    Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
  • D. Kerstin Ekman
    Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
  • E. Annette Ekblom
    Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
  • 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: Ulla Andersson
Triple: [Quincy Jones, spouse, Ulla Andersson]
Generated description
Ulla Andersson is a Swedish model best known for her marriage to legendary music producer Quincy Jones in the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ulla Andersson
Target entity description: Ulla Andersson is a Swedish model best known for her marriage to legendary music producer Quincy Jones in the 1960s.
  • A. Viveca Lindfors
    Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
  • B. Heléne Andersson
    Heléne Andersson is known as one of the children of Benny Andersson, the Swedish musician and composer from the pop group ABBA.
  • C. Therese Andersson
    Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
  • D. Kerstin Ekman
    Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
  • E. Annette Ekblom
    Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26df128819086541db7680c8c24 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203809fac81908047b1139b13cb04 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20532b7388190be5f7bcf48db6f45 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2058d7c4c8190a44fc8745df3b1b3 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.