Triple

T8196329
Position Surface form Disambiguated ID Type / Status
Subject Guoth E191438 entity
Predicate isRelatedTo P37 FINISHED
Object Mikita
Mikita is a given name and surname of Slavic origin used by various notable individuals.
 E718467 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: Mikita | Statement: [Guoth, isRelatedTo, Mikita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mikita
Context triple: [Guoth, isRelatedTo, Mikita]
  • A. Miya
    Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
  • B. Miya
    Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
  • C. Makiko
    Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
  • D. Shizu
    Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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: Mikita
Triple: [Guoth, isRelatedTo, Mikita]
Generated description
Mikita is a given name and surname of Slavic origin used by various notable individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mikita
Target entity description: Mikita is a given name and surname of Slavic origin used by various notable individuals.
  • A. Miya
    Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
  • B. Miya
    Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
  • C. Makiko
    Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
  • D. Shizu
    Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c222e7081908aebce9253cfe515 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedb3cd488190b87e134dd0426a6d completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b706f08190993f4a75eac5f49c completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05ac594c819087d23a7318fd7704 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:42 p.m.