Triple

T31070686
Position Surface form Disambiguated ID Type / Status
Subject 堤康次郎 E791807 entity
Predicate child P120 FINISHED
Object 堤清二
堤清二(本名・堤義明の弟である辻井喬)は、日本の実業家・作家として西武流通グループ(セゾングループ)を率い、同時に詩人・小説家としても知られた文化人です。
E1944638 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: 堤清二 | Statement: [堤康次郎, child, 堤清二]
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: 堤清二
Triple: [堤康次郎, child, 堤清二]
Generated description
堤清二(本名・堤義明の弟である辻井喬)は、日本の実業家・作家として西武流通グループ(セゾングループ)を率い、同時に詩人・小説家としても知られた文化人です。

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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695b566388190a0e6018bf397aa67 completed May 3, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a292b1e684481908feeff3f1c0f9e59 completed June 10, 2026, 9:15 a.m.
NEDg Description generation batch_6a292cf2e6b48190b6ace8e4d363f81b completed June 10, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_6a292d7043b08190b4670cf9665c933e completed June 10, 2026, 9:25 a.m.
Created at: April 29, 2026, 9:01 p.m.