Triple

T30307186
Position Surface form Disambiguated ID Type / Status
Subject Date clan E770817 entity
Predicate notableMember P10 FINISHED
Object Date Harumune
Date Harumune was a Sengoku-period Japanese daimyō of the Date clan who ruled in Mutsu Province and helped lay the groundwork for the later prominence of his son, Date Terumune, and grandson, Date Masamune.
E1908027 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: Date Harumune | Statement: [Date clan, notableMember, Date Harumune]
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: Date Harumune
Triple: [Date clan, notableMember, Date Harumune]
Generated description
Date Harumune was a Sengoku-period Japanese daimyō of the Date clan who ruled in Mutsu Province and helped lay the groundwork for the later prominence of his son, Date Terumune, and grandson, Date Masamune.

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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6816966e8819094d81abb060be372 completed May 2, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276f0fec908190b587dfb4f84beb6f completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a2770717d8881909465bda0bfd2bc3f completed June 9, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a2771090b2c819093ba86e955af7d1c completed June 9, 2026, 1:48 a.m.
Created at: April 29, 2026, 7:49 p.m.