Triple

T11956588
Position Surface form Disambiguated ID Type / Status
Subject Debi Mazar E284567 entity
Predicate givenName P17 FINISHED
Object Debi
Debi is a feminine given name most notably associated with American actress Debi Mazar.
 E956125 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: Debi | Statement: [Debi Mazar, givenName, Debi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Debi
Context triple: [Debi Mazar, givenName, Debi]
  • A. Debra
    Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
  • B. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • C. Debra
    Debra is a troubled, introspective teenage employee at the independent record store in the 1995 cult film "Empire Records."
  • D. Debbie
    Debbie is the fictional lead character portrayed by Debbie Reynolds in the American sitcom "The Debbie Reynolds Show."
  • E. Deena
    Deena is a feminine given name, often considered a variant of Dina, used in various cultures.
  • 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: Debi
Triple: [Debi Mazar, givenName, Debi]
Generated description
Debi is a feminine given name most notably associated with American actress Debi Mazar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Debi
Target entity description: Debi is a feminine given name most notably associated with American actress Debi Mazar.
  • A. Debra
    Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
  • B. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • C. Debra
    Debra is a troubled, introspective teenage employee at the independent record store in the 1995 cult film "Empire Records."
  • D. Debbie
    Debbie is the fictional lead character portrayed by Debbie Reynolds in the American sitcom "The Debbie Reynolds Show."
  • E. Deena
    Deena is a feminine given name, often considered a variant of Dina, used in various cultures.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.