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.