Triple

T32097785
Position Surface form Disambiguated ID Type / Status
Subject Tamiki Umezaki E819764 entity
Predicate hasNameInJapanese P28734 FINISHED
Object ウメザキ・タミキ
ウメザキ・タミキは、日本語名で表記される人物またはキャラクターであり、その詳細な背景や分野は文脈によって異なる固有名である。
 E2002720 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: ウメザキ・タミキ | Statement: [Tamiki Umezaki, hasNameInJapanese, ウメザキ・タミキ]
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: ウメザキ・タミキ
Triple: [Tamiki Umezaki, hasNameInJapanese, ウメザキ・タミキ]
Generated description
ウメザキ・タミキは、日本語名で表記される人物またはキャラクターであり、その詳細な背景や分野は文脈によって異なる固有名である。

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_69f34901106881908ea893ad504a08be completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b646e5448190bb4e551ad3e03fd9 completed May 3, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3056ea20008190b4b1b0cd7948b4bd completed June 15, 2026, 7:47 p.m.
NEDg Description generation batch_6a31af0dd4b48190be2aa9c952a9aff6 completed June 16, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_6a31bab61f508190a4bfde1478397f6c completed June 16, 2026, 9:05 p.m.
Created at: May 1, 2026, 12:26 a.m.