Triple

T28284919
Position Surface form Disambiguated ID Type / Status
Subject Uda Genji E713255 entity
Predicate hasNotableSubline P198989 FINISHED
Object Nanjō clan
The Nanjō clan was a Japanese samurai family descended from the Uda Genji line of the Minamoto, historically active as regional warriors and landholders.
E2054653 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: Nanjō clan | Statement: [Uda Genji, hasNotableSubline, Nanjō clan]
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: Nanjō clan
Triple: [Uda Genji, hasNotableSubline, Nanjō clan]
Generated description
The Nanjō clan was a Japanese samurai family descended from the Uda Genji line of the Minamoto, historically active as regional warriors and landholders.

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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69ff1b28eae881908891c92c36039864 completed May 9, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a359583c21c819083b2c2d5ac15ad11 completed June 19, 2026, 7:16 p.m.
NEDg Description generation batch_6a35a07b378c81909c246bc347c47ee3 completed June 19, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_6a35a103368881908241e8cc960d871d completed June 19, 2026, 8:05 p.m.
Created at: April 27, 2026, 11:25 p.m.