Triple

T8790117
Position Surface form Disambiguated ID Type / Status
Subject Merle Oberon E209140 entity
Predicate notableWork P4 FINISHED
Object Desiree
"Desiree" is a 1940 film starring Merle Oberon, known as a romantic drama set against a historical backdrop.
 E757800 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: Desiree | Statement: [Merle Oberon, notableWork, Desiree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Desiree
Context triple: [Merle Oberon, notableWork, Desiree]
  • A. Désirée
    Désirée is the mysterious, adopted young woman at the center of Kate Chopin’s short story “Désirée’s Baby,” whose uncertain ancestry leads to tragedy in her marriage and family.
  • B. Desiree Scott
    Desiree Scott is a Canadian professional soccer midfielder known for her key role with the Canada women's national team, including multiple Olympic bronze medals.
  • C. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • D. Marguerite
    Marguerite is a 2015 French comedy-drama film directed by Xavier Giannoli, loosely inspired by the life of amateur opera singer Florence Foster Jenkins.
  • E. Marguerite
    Marguerite is a talented French sous-chef in the film "The Hundred-Foot Journey," who helps bridge cultural divides through her passion for cuisine and mentorship of the young protagonist.
  • 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: Desiree
Triple: [Merle Oberon, notableWork, Desiree]
Generated description
"Desiree" is a 1940 film starring Merle Oberon, known as a romantic drama set against a historical backdrop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Desiree
Target entity description: "Desiree" is a 1940 film starring Merle Oberon, known as a romantic drama set against a historical backdrop.
  • A. Désirée
    Désirée is the mysterious, adopted young woman at the center of Kate Chopin’s short story “Désirée’s Baby,” whose uncertain ancestry leads to tragedy in her marriage and family.
  • B. Desiree Scott
    Desiree Scott is a Canadian professional soccer midfielder known for her key role with the Canada women's national team, including multiple Olympic bronze medals.
  • C. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • D. Marguerite
    Marguerite is a 2015 French comedy-drama film directed by Xavier Giannoli, loosely inspired by the life of amateur opera singer Florence Foster Jenkins.
  • E. Marguerite
    Marguerite is a talented French sous-chef in the film "The Hundred-Foot Journey," who helps bridge cultural divides through her passion for cuisine and mentorship of the young protagonist.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8d25f881908863d636fa57a8a2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5378c3f48190a4180c20aecb2260 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf5471e9c08190963b7f1d6c2ceffe completed April 3, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:43 p.m.