Triple

T4505843
Position Surface form Disambiguated ID Type / Status
Subject Codename: Kids Next Door E101329 entity
Predicate abbreviation P43 FINISHED
Object KND
KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
 E447733 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: KND | Statement: [Codename: Kids Next Door, abbreviation, KND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KND
Context triple: [Codename: Kids Next Door, abbreviation, KND]
  • A. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • B. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • C. NKWD
    NKWD was the Soviet Union’s notorious secret police and security agency, responsible for political repression, intelligence, and internal security, particularly during Stalin’s rule.
  • D. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • E. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • 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: KND
Triple: [Codename: Kids Next Door, abbreviation, KND]
Generated description
KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KND
Target entity description: KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
  • A. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • B. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • C. NKWD
    NKWD was the Soviet Union’s notorious secret police and security agency, responsible for political repression, intelligence, and internal security, particularly during Stalin’s rule.
  • D. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • E. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56ff78748190bb667e70c69dc817 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9961ac8190954b2d352d2319fb completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd705e0e848190a73e7ddb569f0e37 completed March 20, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69bd71b41664819091bd4f75d4634943 completed March 20, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:01 p.m.