Triple

T28105652
Position Surface form Disambiguated ID Type / Status
Subject Doraemon E710354 entity
Predicate hasFriend P8712 FINISHED
Object Shizuka Minamoto
Shizuka Minamoto is a kind, intelligent, and gentle girl who is one of the main human characters and Nobita’s close friend (and future wife) in the Japanese manga and anime series Doraemon.
E1806118 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: Shizuka Minamoto | Statement: [Doraemon, hasFriend, Shizuka Minamoto]
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: Shizuka Minamoto
Triple: [Doraemon, hasFriend, Shizuka Minamoto]
Generated description
Shizuka Minamoto is a kind, intelligent, and gentle girl who is one of the main human characters and Nobita’s close friend (and future wife) in the Japanese manga and anime series Doraemon.

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_69ef9b71fdb081908b4a61cd7ff147c1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f64095680c8190a220f9345db8688d completed May 2, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d798a2fc8190b0c0acbd73dda011 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15d8c5ef148190a26087a3271a39d7 completed May 26, 2026, 5:30 p.m.
NED2 Entity disambiguation (via description) batch_6a15dc34943c81909cd8920ef1288f69 completed May 26, 2026, 5:45 p.m.
Created at: April 27, 2026, 9:08 p.m.