Triple

T2531935
Position Surface form Disambiguated ID Type / Status
Subject Epiphanny Prince E56179 entity
Predicate givenName P17 FINISHED
Object Epiphanny
Epiphanny is a professional basketball player best known for her WNBA career and international play, particularly with the Russian national team.
E275010 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: Epiphanny | Statement: [Epiphanny Prince, givenName, Epiphanny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epiphanny
Context triple: [Epiphanny Prince, givenName, Epiphanny]
  • A. Phylicia
    Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
  • B. Hera Gamelia
    Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
  • C. Drisella
    Drisella is one of Cinderella’s vain and spiteful stepsisters in Disney’s 2015 live-action adaptation of the classic fairy tale.
  • D. Eleanora
    Eleanora is the birth name of legendary American jazz singer Billie Holiday, renowned for her emotive voice and influential recordings.
  • E. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • 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: Epiphanny
Triple: [Epiphanny Prince, givenName, Epiphanny]
Generated description
Epiphanny is a professional basketball player best known for her WNBA career and international play, particularly with the Russian national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Epiphanny
Target entity description: Epiphanny is a professional basketball player best known for her WNBA career and international play, particularly with the Russian national team.
  • A. Phylicia
    Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
  • B. Hera Gamelia
    Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
  • C. Drisella
    Drisella is one of Cinderella’s vain and spiteful stepsisters in Disney’s 2015 live-action adaptation of the classic fairy tale.
  • D. Eleanora
    Eleanora is the birth name of legendary American jazz singer Billie Holiday, renowned for her emotive voice and influential recordings.
  • E. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd279cf108190b03fb6e0265f39d9 completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bb9c37081909128d7a227651c8b completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af4fedb0a48190a9d9da8eeebfe074 completed March 9, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69af50551fd88190829d20ab2be426d4 completed March 9, 2026, 10:57 p.m.
Created at: March 6, 2026, 9:47 p.m.