Triple

T27963391
Position Surface form Disambiguated ID Type / Status
Subject 吳伯雄 E704647 entity
Predicate positionHeld P8 FINISHED
Object 總統府資政
總統府資政是中華民國總統府設置的高階顧問性職務，由具重要政治資歷或社會聲望的人士出任，負責就國政提供諮詢與建言。
 E1798240 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: 總統府資政 | Statement: [吳伯雄, positionHeld, 總統府資政]
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: 總統府資政
Triple: [吳伯雄, positionHeld, 總統府資政]
Generated description
總統府資政是中華民國總統府設置的高階顧問性職務，由具重要政治資歷或社會聲望的人士出任，負責就國政提供諮詢與建言。

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_69ef841061e48190b5570f9562f7434d completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63b04d0788190b179fe981de41fff completed May 2, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13116f3c508190b2f0f8129aaaba79 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a13156ae9d8819091b4bafa5399f85f completed May 24, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_6a1315f4b09c8190868c5e16ab852c96 completed May 24, 2026, 3:15 p.m.
Created at: April 27, 2026, 7:33 p.m.