Triple

T5505929
Position Surface form Disambiguated ID Type / Status
Subject Audra McDonald E144440 entity
Predicate givenName P17 FINISHED
Object Audra
Audra is a feminine given name most notably associated with acclaimed American actress and singer Audra McDonald.
 E533504 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: Audra | Statement: [Audra McDonald, givenName, Audra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Audra
Context triple: [Audra McDonald, givenName, Audra]
  • A. Lorelei Ambrosia
    Lorelei Ambrosia is a glamorous, comedic antagonist and accomplice to the villain Ross Webster in the 1983 superhero film Superman III.
  • B. Nina Warren
    Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
  • C. Audrey
    Audrey is a simple, rustic shepherdess who serves as a comic character in William Shakespeare’s pastoral comedy "As You Like It."
  • D. Audrey
    Audrey is a kind-hearted, nature-loving girl in the 2012 animated film "The Lorax" whose dream of seeing real trees inspires the protagonist’s quest.
  • E. Audrey
    Audrey is a feminine given name of Old English origin, traditionally meaning "noble strength" and borne by numerous notable figures in politics, arts, and entertainment.
  • 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: Audra
Triple: [Audra McDonald, givenName, Audra]
Generated description
Audra is a feminine given name most notably associated with acclaimed American actress and singer Audra McDonald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Audra
Target entity description: Audra is a feminine given name most notably associated with acclaimed American actress and singer Audra McDonald.
  • A. Lorelei Ambrosia
    Lorelei Ambrosia is a glamorous, comedic antagonist and accomplice to the villain Ross Webster in the 1983 superhero film Superman III.
  • B. Nina Warren
    Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
  • C. Audrey
    Audrey is a simple, rustic shepherdess who serves as a comic character in William Shakespeare’s pastoral comedy "As You Like It."
  • D. Audrey
    Audrey is a feminine given name of Old English origin, traditionally meaning "noble strength" and borne by numerous notable figures in politics, arts, and entertainment.
  • E. Audrey
    Audrey is a kind-hearted, nature-loving girl in the 2012 animated film "The Lorax" whose dream of seeing real trees inspires the protagonist’s quest.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f47d2dc8190ad874be6902d8a4c completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027b3ab408190ab1e68dfbcf7eec6 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c0430e51fc819084706f52a815350a completed March 22, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_69c046e54a20819080eef5179f206314 completed March 22, 2026, 7:45 p.m.
Created at: March 22, 2026, 3:32 p.m.