Triple

T38702893
Position Surface form Disambiguated ID Type / Status
Subject 九条家 E950186 entity
Predicate notableMember P10 FINISHED
Object 九条兼実
九条兼実は、平安末期から鎌倉初期にかけて活躍した公卿で、摂政・関白を務めるとともに日記『玉葉』を残したことで知られる日本の貴族である。
 E2283891 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: 九条兼実 | Statement: [九条家, notableMember, 九条兼実]
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: 九条兼実
Triple: [九条家, notableMember, 九条兼実]
Generated description
九条兼実は、平安末期から鎌倉初期にかけて活躍した公卿で、摂政・関白を務めるとともに日記『玉葉』を残したことで知られる日本の貴族である。

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_69f76f0124408190bb39c3040734846b completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdc8c5ec48190b6aa759fcdf16354 completed May 7, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a43094059148190b3e737e16eced167 completed June 30, 2026, 12:09 a.m.
NEDg Description generation batch_6a430f7e8d18819098f1a352cb27aa08 completed June 30, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a430fdf84fc8190983a56628717479a completed June 30, 2026, 12:37 a.m.
Created at: May 3, 2026, 4:33 p.m.