Triple

T22043364
Position Surface form Disambiguated ID Type / Status
Subject Kyla-Drew Simmons E544698 entity
Predicate appearedIn P795 FINISHED
Object Jessie
"Jessie" is a Disney Channel live-action comedy series about a small-town Texas teenager who becomes a nanny 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: [Kyla-Drew Simmons, appearedIn, Jessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie
Context triple: [Kyla-Drew Simmons, appearedIn, 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: [Kyla-Drew Simmons, appearedIn, Jessie]
Generated description
"Jessie" is a Disney Channel live-action comedy series about a small-town Texas teenager who becomes a nanny 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 live-action comedy series about a small-town Texas teenager who becomes a nanny for a wealthy New York City family.
  • A. Jessie chosen
    Jessie is a Disney Channel comedy television series starring Debby Ryan as a young nanny working for a wealthy New York City family.
  • B. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • C. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • D. Jessie
    Jessie is a fictional character who appears alongside Morgiana, likely within a shared narrative or series.
  • E. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • F. None of above.

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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282ac42c819099b2f664f79f5b83 completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7324488190b33025d70d882f26 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c4736808190bd04e03adcb2d97b completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d80f9c08190b18e04b9e9cf47a5 completed May 18, 2026, 2:46 a.m.
Created at: April 16, 2026, 8:25 p.m.