Triple

T30759413
Position Surface form Disambiguated ID Type / Status
Subject 斎藤実 E783186 entity
Predicate 配偶者 P13 FINISHED
Object 斎藤たけ
斎藤たけは、日本の政治家で第19代内閣総理大臣を務めた斎藤実の妻として知られる人物である。
E1560658 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: 斎藤たけ | Statement: [斎藤実, 配偶者, 斎藤たけ]
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: 斎藤たけ
Triple: [斎藤実, 配偶者, 斎藤たけ]
Generated description
斎藤たけは、日本の政治家で第19代内閣総理大臣を務めた斎藤実の妻として知られる人物である。

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_69f224b047f48190b4f5efeb7ee97b37 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68f9a8f888190b7b14dc5b0bc86ca completed May 2, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbd289288190941bd73bdebb9481 completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bc80ccc881909a65070a3201c7a2 completed June 10, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd13dd1481908f54532c8d0f9e47 completed June 10, 2026, 1:25 a.m.
Created at: April 29, 2026, 8:39 p.m.