Triple

T29182464
Position Surface form Disambiguated ID Type / Status
Subject Alex Kidd in Miracle World E739780 entity
Predicate antagonist P4675 FINISHED
Object Janken the Great
Janken the Great is the main villain and final boss of the classic Sega Master System game Alex Kidd in Miracle World, known for challenging the hero through rock-paper-scissors battles.
E1851946 NE FINISHED

How this triple was built (2 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: Janken the Great | Statement: [Alex Kidd in Miracle World, antagonist, Janken the Great]
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: Janken the Great
Triple: [Alex Kidd in Miracle World, antagonist, Janken the Great]
Generated description
Janken the Great is the main villain and final boss of the classic Sega Master System game Alex Kidd in Miracle World, known for challenging the hero through rock-paper-scissors battles.

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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66384473c81909fb9ff9037f56b67 completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25507e14ec8190a44cacebe8b20ac7 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554ec348081909887f4dbdf25c69c completed June 7, 2026, 11:24 a.m.
NED2 Entity disambiguation (via description) batch_6a2555a8b3948190bee8b09be3fdad21 completed June 7, 2026, 11:27 a.m.
Created at: April 28, 2026, 11:58 a.m.