Triple

T23443417
Position Surface form Disambiguated ID Type / Status
Subject Kim Possible E565466 entity
Predicate setting P1957 FINISHED
Object Middleton
Middleton is the fictional American hometown of teen crime-fighter Kim Possible in the animated Disney Channel series of the same name.
 E1586635 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: Middleton | Statement: [Kim Possible, setting, Middleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Middleton
Context triple: [Kim Possible, setting, Middleton]
  • A. Middleton
    Middleton is a village and civil parish in the English county of Norfolk, situated near the town of King’s Lynn.
  • B. Middleton
    Middleton is a suburban city in south-central Wisconsin, known for its proximity to Madison and its mix of residential neighborhoods, parks, and commercial areas.
  • C. Middleton
    Middleton is the middle name of James M. Cox, the American newspaper publisher and Democratic politician who ran for U.S. president in 1920.
  • D. Middleton
    Middleton is a small coastal town in South Australia known for its surf beaches and holiday atmosphere.
  • E. Middleton
    Middleton is a common English place name and surname, historically referring to settlements situated in the middle of two larger towns or regions.
  • 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: Middleton
Triple: [Kim Possible, setting, Middleton]
Generated description
Middleton is the fictional American hometown of teen crime-fighter Kim Possible in the animated Disney Channel series of the same name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Middleton
Target entity description: Middleton is the fictional American hometown of teen crime-fighter Kim Possible in the animated Disney Channel series of the same name.
  • A. Middleton
    Middleton is a small town in Nova Scotia, Canada, known as the “Heart of the Annapolis Valley” and serving as a local service and commercial center for the surrounding rural region.
  • B. Middleton
    Middleton is a small rural community located within the municipality of Middlesex Centre in southwestern Ontario, Canada.
  • C. Middleton
    Middleton is a suburban city in south-central Wisconsin, known for its proximity to Madison and its mix of residential neighborhoods, parks, and commercial areas.
  • D. Middleton
    Middleton is a town in Greater Manchester, England, historically part of Lancashire and now a residential and industrial suburb of Manchester.
  • E. Middleton
    Middleton is a village and civil parish in the English county of Norfolk, situated near the town of King’s Lynn.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b583fc8190941de49b824f9c98 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7217edc881909f582f0c726d7e61 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76ed37b08190af81b4ae2dc7c028 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:51 p.m.