Triple

T10926310
Position Surface form Disambiguated ID Type / Status
Subject Zoe Ever After E258076 entity
Predicate character P662 FINISHED
Object Stephen
Stephen is a supporting character in the BET sitcom "Zoe Ever After," involved in the personal and professional life of the show's protagonist, Zoe.
E893529 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: Stephen | Statement: [Zoe Ever After, character, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen
Context triple: [Zoe Ever After, character, Stephen]
  • A. Stephen
    Stephen is the given name of Stephen Strasburg, an American professional baseball pitcher known for his career with the Washington Nationals.
  • B. Stephen
    Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
  • C. Stephen
    Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
  • D. Stephen
    Stephen is the birth surname of the English modernist writer Virginia Woolf, belonging to a prominent literary and intellectual family in late 19th-century London.
  • E. Stephen
    Stephen is the given name of Stephen Marley, a Jamaican musician and son of reggae legend Bob Marley.
  • 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: Stephen
Triple: [Zoe Ever After, character, Stephen]
Generated description
Stephen is a supporting character in the BET sitcom "Zoe Ever After," involved in the personal and professional life of the show's protagonist, Zoe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stephen
Target entity description: Stephen is a supporting character in the BET sitcom "Zoe Ever After," involved in the personal and professional life of the show's protagonist, Zoe.
  • A. Stephen
    Stephen is a pivotal supporting character in Quentin Tarantino's film "Django Unchained," portrayed as the fiercely loyal and manipulative house slave of plantation owner Calvin Candie.
  • B. Stephen
    Stephen is the given name of Stephen Strasburg, an American professional baseball pitcher known for his career with the Washington Nationals.
  • C. Stephen
    Stephen is a central character in Terrence McNally’s play *The Lisbon Traviata*, a darkly comic drama about obsession, relationships, and opera fandom.
  • D. Stephen
    Stephen is the given name of American novelist, screenwriter, and film director Stephen Chbosky, best known for writing "The Perks of Being a Wallflower."
  • E. Stephen
    Stephen is the given name of Stephen G. Breyer, an American jurist and former Associate Justice of the U.S. Supreme Court.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709165188190aa30dd08deddade4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216fca9f48190b02e8c13b8f428bf completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.