Triple

T15441589
Position Surface form Disambiguated ID Type / Status
Subject Kenny E369914 entity
Predicate hasSpellingVariant P457 FINISHED
Object Kenie
Kenie is an alternative spelling of the given name Kenny, typically used as a personal name.
 E1158961 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: Kenie | Statement: [Kenny, hasSpellingVariant, Kenie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenie
Context triple: [Kenny, hasSpellingVariant, Kenie]
  • A. Kimeru
    Kimeru is a Bantu language spoken primarily by the Meru people of central Kenya.
  • B. Kisii
    Kisii is a bustling commercial and administrative town in southwestern Kenya, serving as a key hub for the surrounding agricultural highlands and the Kisii community.
  • C. Kwetu
    "Kwetu" is a popular Tanzanian Bongo Flava song by Rayvanny that helped establish his prominence in East African music.
  • D. Nyakyusa
    The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
  • E. Kaonde
    Kaonde is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of the Democratic Republic of the Congo.
  • 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: Kenie
Triple: [Kenny, hasSpellingVariant, Kenie]
Generated description
Kenie is an alternative spelling of the given name Kenny, typically used as a personal name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenie
Target entity description: Kenie is an alternative spelling of the given name Kenny, typically used as a personal name.
  • A. Kimeru
    Kimeru is a Bantu language spoken primarily by the Meru people of central Kenya.
  • B. Kisii
    Kisii is a bustling commercial and administrative town in southwestern Kenya, serving as a key hub for the surrounding agricultural highlands and the Kisii community.
  • C. Kwetu
    "Kwetu" is a popular Tanzanian Bongo Flava song by Rayvanny that helped establish his prominence in East African music.
  • D. Nyakyusa
    The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
  • E. Kaonde
    Kaonde is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of the Democratic Republic of the Congo.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf7ce7c8190810ef35b6e37254d completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:21 a.m.