Triple

T24645257
Position Surface form Disambiguated ID Type / Status
Subject Asahi-hime E610089 entity
Predicate spouse P13 FINISHED
Object Saji Kazunari
Saji Kazunari was a Japanese samurai and feudal lord of the late Sengoku and early Edo periods, known for his shifting allegiances among major warlords such as Oda Nobunaga, Toyotomi Hideyoshi, and Tokugawa Ieyasu.
E1855136 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: Saji Kazunari | Statement: [Asahi-hime, spouse, Saji Kazunari]
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: Saji Kazunari
Triple: [Asahi-hime, spouse, Saji Kazunari]
Generated description
Saji Kazunari was a Japanese samurai and feudal lord of the late Sengoku and early Edo periods, known for his shifting allegiances among major warlords such as Oda Nobunaga, Toyotomi Hideyoshi, and Tokugawa Ieyasu.

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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40f808a748190ab8ae16472daeabb completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a256988a21481908682d6b61b8e98d0 completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256f31adfc8190b5c86993112f300a completed June 7, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a256f98942081909d86856ade8b24be completed June 7, 2026, 1:18 p.m.
Created at: April 18, 2026, 2:33 a.m.