Triple

T27968433
Position Surface form Disambiguated ID Type / Status
Subject Liza Wang E704789 entity
Predicate nativeName P15 FINISHED
Object 汪明荃
汪明荃是一位香港著名女演员、歌手及电视主持人，被誉为“阿姐”，在粤语电视剧和综艺节目领域具有举足轻重的地位。
 E1796055 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: 汪明荃 | Statement: [Liza Wang, nativeName, 汪明荃]
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: 汪明荃
Triple: [Liza Wang, nativeName, 汪明荃]
Generated description
汪明荃是一位香港著名女演员、歌手及电视主持人，被誉为“阿姐”，在粤语电视剧和综艺节目领域具有举足轻重的地位。

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_69f63b3337748190ae03ce1742a31d22 completed May 2, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1311731ffc819097a323a325b007dc completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a1313431f9c8190a4ee1c50f1428a70 completed May 24, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a13141302b48190be6929fdd41bde62 completed May 24, 2026, 3:06 p.m.
Created at: April 27, 2026, 7:36 p.m.