Triple

T25393844
Position Surface form Disambiguated ID Type / Status
Subject Emperor Ōgimachi E636236 entity
Predicate romanization P2508 FINISHED
Object Ōgimachi-tennō
Ōgimachi-tennō was the 106th emperor of Japan, whose reign from 1557 to 1586 spanned the turbulent late Sengoku period and overlapped with the rise of Oda Nobunaga and Toyotomi Hideyoshi.
E1713282 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: Ōgimachi-tennō | Statement: [Emperor Ōgimachi, romanization, Ōgimachi-tennō]
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: Ōgimachi-tennō
Triple: [Emperor Ōgimachi, romanization, Ōgimachi-tennō]
Generated description
Ōgimachi-tennō was the 106th emperor of Japan, whose reign from 1557 to 1586 spanned the turbulent late Sengoku period and overlapped with the rise of Oda Nobunaga and Toyotomi Hideyoshi.

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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f56572b9288190abaf921c761fd843 completed May 2, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a118540e2dc81908224731e314a58ed completed May 23, 2026, 10:45 a.m.
NEDg Description generation batch_6a11861e622c8190a73ab247d696435a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186c04c2c8190a5e70c9d9a5cbeb8 completed May 23, 2026, 10:51 a.m.
Created at: April 21, 2026, 1:49 p.m.