Triple

T12174034
Position Surface form Disambiguated ID Type / Status
Subject Desiree Scott E290043 entity
Predicate givenName P17 FINISHED
Object Desiree E290043 NE FINISHED

How this triple was built (2 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: [Desiree Scott, givenName, Desiree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desiree
Context triple: [Desiree Scott, givenName, Desiree]
  • A. Desiree
    "Desiree" is a 1940 film starring Merle Oberon, known as a romantic drama set against a historical backdrop.
  • B. 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.
  • C. Desiree Scott chosen
    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.
  • D. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.