Triple

T16846038
Position Surface form Disambiguated ID Type / Status
Subject Kai E409540 entity
Predicate hasSpellingVariant P457 FINISHED
Object Kaj
Kaj is a given name, used in various cultures, that serves as a spelling variant of the name Kai.
 E1237219 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: Kaj | Statement: [Kai, hasSpellingVariant, Kaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaj
Context triple: [Kai, hasSpellingVariant, Kaj]
  • A. Kaje
    Kaje is an exonym used to refer to the Bajju people, an ethnic group primarily found in Kaduna State, Nigeria.
  • B. Kij
    Kij is an ethnonymic variant referring to the Kizh, a Native American people indigenous to the Los Angeles Basin in Southern California.
  • C. Kije
    Kije is a village in south-central Poland that serves as the seat of the rural administrative district Gmina Kije in Świętokrzyskie Voivodeship.
  • D. Ka
    Ka is an American underground rapper and producer from Brownsville, Brooklyn, known for his minimalist, introspective style and dense, poetic lyricism.
  • E. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • 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: Kaj
Triple: [Kai, hasSpellingVariant, Kaj]
Generated description
Kaj is a given name, used in various cultures, that serves as a spelling variant of the name Kai.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaj
Target entity description: Kaj is a given name, used in various cultures, that serves as a spelling variant of the name Kai.
  • A. Kaje
    Kaje is an exonym used to refer to the Bajju people, an ethnic group primarily found in Kaduna State, Nigeria.
  • B. Kij
    Kij is an ethnonymic variant referring to the Kizh, a Native American people indigenous to the Los Angeles Basin in Southern California.
  • C. Kije
    Kije is a village in south-central Poland that serves as the seat of the rural administrative district Gmina Kije in Świętokrzyskie Voivodeship.
  • D. Ka
    Ka is an American underground rapper and producer from Brownsville, Brooklyn, known for his minimalist, introspective style and dense, poetic lyricism.
  • E. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3541a008190b2a97cfea92b170f completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1b47648190909eaaf4e1e8e4c3 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc22dc1c81909edc5cdb239f0ea8 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bce879648190acbd5645cd1a4ec8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:24 a.m.