Triple

T9983553
Position Surface form Disambiguated ID Type / Status
Subject Boomerang (1992 film) E196510 entity
Predicate character P662 FINISHED
Object Jacqueline Broyer
Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
E875125 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: Jacqueline Broyer | Statement: [Boomerang (1992 film), character, Jacqueline Broyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacqueline Broyer
Context triple: [Boomerang (1992 film), character, Jacqueline Broyer]
  • A. Jacqueline Belhomme
    Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
  • B. Jeannine Guillou
    Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
  • C. Suzanne Jolibois
    Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
  • D. Yvette Chauviré
    Yvette Chauviré was a renowned French ballerina celebrated as one of the greatest étoiles of the 20th century and a defining figure of classical ballet in France.
  • E. Jeanne Rucar
    Jeanne Rucar was a French-born gymnast and memoirist best known as the longtime wife and confidante of Spanish filmmaker Luis Buñuel.
  • 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: Jacqueline Broyer
Triple: [Boomerang (1992 film), character, Jacqueline Broyer]
Generated description
Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jacqueline Broyer
Target entity description: Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
  • A. Jacqueline Belhomme
    Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
  • B. Jeannine Guillou
    Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
  • C. Suzanne Jolibois
    Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
  • D. Yvette Chauviré
    Yvette Chauviré was a renowned French ballerina celebrated as one of the greatest étoiles of the 20th century and a defining figure of classical ballet in France.
  • E. Jeanne Rucar
    Jeanne Rucar was a French-born gymnast and memoirist best known as the longtime wife and confidante of Spanish filmmaker Luis Buñuel.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96af89e48819093a6c149ac988391 completed April 10, 2026, 9:26 p.m.
NEDg Description generation batch_69d96d85f9648190a43c8c924f5139e3 completed April 10, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69d96e1a36688190b97ced745bc6a30d completed April 10, 2026, 9:39 p.m.
Created at: March 30, 2026, 8:49 p.m.