Triple

T13259637
Position Surface form Disambiguated ID Type / Status
Subject Debby Ryan E315753 entity
Predicate notableWork P4 FINISHED
Object Jessie
Jessie is a Disney Channel comedy television series starring Debby Ryan as a young nanny working for a wealthy New York City family.
E1030028 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: Jessie | Statement: [Debby Ryan, notableWork, Jessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie
Context triple: [Debby Ryan, notableWork, Jessie]
  • A. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie
    Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • C. Jessie
    Jessie is a person whose full name is Jessie Oriana Huxley.
  • D. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • E. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • 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: Jessie
Triple: [Debby Ryan, notableWork, Jessie]
Generated description
Jessie is a Disney Channel comedy television series starring Debby Ryan as a young nanny working for a wealthy New York City family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jessie
Target entity description: Jessie is a Disney Channel comedy television series starring Debby Ryan as a young nanny working for a wealthy New York City family.
  • A. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • C. Jessie
    Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
  • D. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • E. Jessie
    Jessie is a person whose full name is Jessie Oriana Huxley.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4612cc8190b45673a3994cee18 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70c42d5008190bcd6275054637448 completed May 3, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69f70ce60a7081908f9498fcfec98e90 completed May 3, 2026, 8:52 a.m.
Created at: April 9, 2026, 9:25 p.m.