Triple

T38186688
Position Surface form Disambiguated ID Type / Status
Subject Fujiko F. Fujio E1005335 entity
Predicate collaboratedWith P435 FINISHED
Object Fujiko A. Fujio
Fujiko A. Fujio was the pen name of Japanese manga artist Motoo Abiko, best known as one half of the duo behind influential works like Doraemon and for his own series such as Ninja Hattori-kun and Kaibutsu-kun.
E2290138 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: Fujiko A. Fujio | Statement: [Fujiko F. Fujio, collaboratedWith, Fujiko A. Fujio]
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: Fujiko A. Fujio
Triple: [Fujiko F. Fujio, collaboratedWith, Fujiko A. Fujio]
Generated description
Fujiko A. Fujio was the pen name of Japanese manga artist Motoo Abiko, best known as one half of the duo behind influential works like Doraemon and for his own series such as Ninja Hattori-kun and Kaibutsu-kun.

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_69f76dbc22c481908139b694ffde7a0c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb112bcb08190aae375846845fd66 completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5ba039e3a081908ac5c3a44928709b completed July 18, 2026, 3:48 p.m.
NEDg Description generation batch_6a5ba1fe34b481909eff64498b5cd6c4 completed July 18, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_6a5ba2570f748190a6395dca10069d9a completed July 18, 2026, 3:57 p.m.
Created at: May 3, 2026, 4:29 p.m.