Triple

T27968586
Position Surface form Disambiguated ID Type / Status
Subject 羅家英 E704792 entity
Predicate spouse P13 FINISHED
Object 汪明荃
汪明荃是香港著名女演员、歌手及主持人，长期效力无线电视（TVB），以多部经典电视剧角色和舞台演出广为人知。
 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: [羅家英, spouse, 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: [羅家英, spouse, 汪明荃]
Generated description
汪明荃是香港著名女演员、歌手及主持人，长期效力无线电视（TVB），以多部经典电视剧角色和舞台演出广为人知。

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_6a15b88d71788190a55d48ec0fdb5a8d completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15b9f60f4c819096572429132b28ee completed May 26, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_6a15bab9c38481909174d09a000320a6 completed May 26, 2026, 3:22 p.m.
Created at: April 27, 2026, 7:36 p.m.