Triple

T26913493
Position Surface form Disambiguated ID Type / Status
Subject 蔣孝武 E677454 entity
Predicate sibling P363 FINISHED
Object 蔣孝嚴
蔣孝嚴(John Chiang)是中華民國(台灣)資深政治人物,曾任立法委員與外交部長,並以蔣家第三代成員的身分在國民黨內具有重要影響力。
E1752592 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: 蔣孝嚴 | Statement: [蔣孝武, sibling, 蔣孝嚴]
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: 蔣孝嚴
Triple: [蔣孝武, sibling, 蔣孝嚴]
Generated description
蔣孝嚴(John Chiang)是中華民國(台灣)資深政治人物,曾任立法委員與外交部長,並以蔣家第三代成員的身分在國民黨內具有重要影響力。

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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fdc239c81908b7bebeb2d8a8a20 completed May 2, 2026, 4:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a122991f3208190b5dc26b6fdf07c03 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122ab3c688819090346bce8a20c061 completed May 23, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_6a122bf0a15c81909e479281bb9e7d73 completed May 23, 2026, 10:36 p.m.
Created at: April 27, 2026, 6:03 a.m.