Triple

T13695255
Position Surface form Disambiguated ID Type / Status
Subject The Wendy Williams Show E328366 entity
Predicate followedBy P78 FINISHED
Object Sherri
Sherri is an American daytime talk show hosted by comedian and actress Sherri Shepherd, known for its celebrity interviews, pop culture commentary, and comedic monologues.
 E1058034 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: Sherri | Statement: [The Wendy Williams Show, followedBy, Sherri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sherri
Context triple: [The Wendy Williams Show, followedBy, Sherri]
  • A. Scherrie
    Scherrie is a feminine given name most notably associated with American singer Scherrie Payne of The Supremes.
  • B. Sheryl
    Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
  • C. Shirlee
    Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
  • D. Sheri
    Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
  • E. Trisha
    Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
  • 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: Sherri
Triple: [The Wendy Williams Show, followedBy, Sherri]
Generated description
Sherri is an American daytime talk show hosted by comedian and actress Sherri Shepherd, known for its celebrity interviews, pop culture commentary, and comedic monologues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sherri
Target entity description: Sherri is an American daytime talk show hosted by comedian and actress Sherri Shepherd, known for its celebrity interviews, pop culture commentary, and comedic monologues.
  • A. Scherrie
    Scherrie is a feminine given name most notably associated with American singer Scherrie Payne of The Supremes.
  • B. Sheryl
    Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
  • C. Shirlee
    Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
  • D. Sheri
    Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
  • E. Trisha
    Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4f35888190b2c3df62bde1ce6e completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f7a15f3c908190be380355972def6e completed May 3, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2234390819093814fd435f9c42c completed May 3, 2026, 7:29 p.m.
Created at: April 9, 2026, 9:54 p.m.