Triple

T26808130
Position Surface form Disambiguated ID Type / Status
Subject Asakura Yoshikage E671901 entity
Predicate predecessor P97 FINISHED
Object Asakura Takakage
Asakura Takakage was a Japanese samurai and early head of the Asakura clan whose leadership helped establish the foundation for the clan’s later power in Echizen Province during the Sengoku period.
E2111473 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: Asakura Takakage | Statement: [Asakura Yoshikage, predecessor, Asakura Takakage]
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: Asakura Takakage
Triple: [Asakura Yoshikage, predecessor, Asakura Takakage]
Generated description
Asakura Takakage was a Japanese samurai and early head of the Asakura clan whose leadership helped establish the foundation for the clan’s later power in Echizen Province during the Sengoku period.

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_69eeb3225a3c8190aaf6746efeded2f3 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a1f1f8481908c75c51a505c505a completed May 2, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37660ababc8190b81679d34aa60088 completed June 21, 2026, 4:18 a.m.
NEDg Description generation batch_6a3768b4557c8190b6c4b370726e5b50 completed June 21, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a376918bbb8819081ac8dee61a027f2 completed June 21, 2026, 4:31 a.m.
Created at: April 27, 2026, 4:27 a.m.