Triple

T8565896
Position Surface form Disambiguated ID Type / Status
Subject Kenzi E202800 entity
Predicate hasAlternativeName P39 FINISHED
Object Mattokki
Mattokki is an alternative name used by the artist or creator known as Kenzi.
 E746078 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: Mattokki | Statement: [Kenzi, hasAlternativeName, Mattokki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mattokki
Context triple: [Kenzi, hasAlternativeName, Mattokki]
  • A. Mattokki
    Mattokki is a lesser-known Nubian language spoken by a small ethnic community in the Nile Valley region of northeastern Africa.
  • B. Mokk
    Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
  • C. Meehni
    Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
  • D. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • E. Tosterön
    Tosterön is an island in Lake Mälaren in central Sweden, known for its natural landscapes and proximity to the town of Strängnäs.
  • 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: Mattokki
Triple: [Kenzi, hasAlternativeName, Mattokki]
Generated description
Mattokki is an alternative name used by the artist or creator known as Kenzi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mattokki
Target entity description: Mattokki is an alternative name used by the artist or creator known as Kenzi.
  • A. Mattokki
    Mattokki is a lesser-known Nubian language spoken by a small ethnic community in the Nile Valley region of northeastern Africa.
  • B. Mokk
    Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
  • C. Meehni
    Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
  • D. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • E. Tosterön
    Tosterön is an island in Lake Mälaren in central Sweden, known for its natural landscapes and proximity to the town of Strängnäs.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea87badf081909727808f0e14ae45 completed April 2, 2026, 5:33 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:20 p.m.