Triple

T6162132
Position Surface form Disambiguated ID Type / Status
Subject Get Smart E137465 entity
Predicate featuresOrganization P629 FINISHED
Object KAOS
KAOS is the fictional international criminal organization and primary antagonist group in the classic spy-comedy television series "Get Smart."
E574353 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: KAOS | Statement: [Get Smart, featuresOrganization, KAOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAOS
Context triple: [Get Smart, featuresOrganization, KAOS]
  • A. Kaos
    Kaos is the primary villain in the Skylanders video game series, a power-hungry Portal Master who repeatedly schemes to conquer Skylands.
  • B. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • C. Phantoscope
    The Phantoscope was an early motion picture projector whose design formed the basis for later commercial projectors like the Vitascope.
  • D. Killer Pad
    Killer Pad is a 2008 horror-comedy film about three friends who move into a seemingly perfect bachelor pad that turns out to be a gateway to hell.
  • E. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • 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: KAOS
Triple: [Get Smart, featuresOrganization, KAOS]
Generated description
KAOS is the fictional international criminal organization and primary antagonist group in the classic spy-comedy television series "Get Smart."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KAOS
Target entity description: KAOS is the fictional international criminal organization and primary antagonist group in the classic spy-comedy television series "Get Smart."
  • A. Kaos
    Kaos is the primary villain in the Skylanders video game series, a power-hungry Portal Master who repeatedly schemes to conquer Skylands.
  • B. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • C. Phantoscope
    The Phantoscope was an early motion picture projector whose design formed the basis for later commercial projectors like the Vitascope.
  • D. Killer Pad
    Killer Pad is a 2008 horror-comedy film about three friends who move into a seemingly perfect bachelor pad that turns out to be a gateway to hell.
  • E. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14199f024819089af02b1c0eebfad completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c1467ef4d48190b714823935318c0a completed March 23, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_69c146f59d9881908fdc6c0137f0ead7 completed March 23, 2026, 1:58 p.m.
Created at: March 22, 2026, 4:17 p.m.