Triple

T665974
Position Surface form Disambiguated ID Type / Status
Subject Phylicia Rashad E12861 entity
Predicate givenName P17 FINISHED
Object Phylicia
Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
E119156 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: Phylicia | Statement: [Phylicia Rashad, givenName, Phylicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phylicia
Context triple: [Phylicia Rashad, givenName, Phylicia]
  • A. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • C. Bernice
    Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
  • D. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • E. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • 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: Phylicia
Triple: [Phylicia Rashad, givenName, Phylicia]
Generated description
Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phylicia
Target entity description: Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
  • A. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • C. Bernice
    Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
  • D. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • E. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd4f4988190a0973ceb7329b4c9 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b93323c8190948dd9993a468a78 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c21404c8190bf12bb730a1acc54 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3ccb05f0819080aa215cc1fb2430 completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:36 p.m.