Triple

T2984112
Position Surface form Disambiguated ID Type / Status
Subject Jōkō E80579 entity
Predicate hasAlternativeForm P455 FINISHED
Object Joko
Joko is a romanized variant of the Japanese name Jōkō, which can function as a given name or part of a title.
E316410 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: Joko | Statement: [Jōkō, hasAlternativeForm, Joko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joko
Context triple: [Jōkō, hasAlternativeForm, Joko]
  • A. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • B. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • C. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • D. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • E. Gruer
    Gruer is a character in Isaac Asimov's science fiction novel "The Naked Sun," involved in the investigation central to the story's plot.
  • 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: Joko
Triple: [Jōkō, hasAlternativeForm, Joko]
Generated description
Joko is a romanized variant of the Japanese name Jōkō, which can function as a given name or part of a title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joko
Target entity description: Joko is a romanized variant of the Japanese name Jōkō, which can function as a given name or part of a title.
  • A. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • B. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • C. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • D. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • E. Gruer
    Gruer is a character in Isaac Asimov's science fiction novel "The Naked Sun," involved in the investigation central to the story's plot.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c481fc81909971c96352a881b4 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f8b2b08190904cf89befe656dd completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10bacb1588190868ae703c437e57e completed March 11, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b10bf903748190a203f0ea97332212 completed March 11, 2026, 6:30 a.m.
Created at: March 8, 2026, 2:59 p.m.