Triple

T36563746
Position Surface form Disambiguated ID Type / Status
Subject Uesugi Kagekatsu E901914 entity
Predicate biologicalFather P1908 FINISHED
Object Nagao Masakage
Nagao Masakage was a Sengoku-period Japanese samurai and prominent retainer of Uesugi Kenshin who ruled the Niigata-area Kasugayama domain and became the father of Uesugi Kagekatsu.
E2287487 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: Nagao Masakage | Statement: [Uesugi Kagekatsu, biologicalFather, Nagao Masakage]
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: Nagao Masakage
Triple: [Uesugi Kagekatsu, biologicalFather, Nagao Masakage]
Generated description
Nagao Masakage was a Sengoku-period Japanese samurai and prominent retainer of Uesugi Kenshin who ruled the Niigata-area Kasugayama domain and became the father of Uesugi Kagekatsu.

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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c27d4f5c8190ab080be352c846f3 completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a59f095473881909bb4bd53bad91ea2 completed July 17, 2026, 9:06 a.m.
NEDg Description generation batch_6a59f2942b54819087964ecd1871b04b completed July 17, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a59f3800a048190a379c6aa68e86f2c completed July 17, 2026, 9:18 a.m.
Created at: May 3, 2026, 4:11 p.m.