Triple

T34722926
Position Surface form Disambiguated ID Type / Status
Subject Anita Mui E1000966 entity
Predicate nickname P55 FINISHED
Object Madonna of the East
Madonna of the East is the celebrated nickname of Hong Kong Cantopop icon and actress Anita Mui, highlighting her status as a legendary and influential figure in Asian pop music.
E2108984 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: Madonna of the East | Statement: [Anita Mui, nickname, Madonna of the East]
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: Madonna of the East
Triple: [Anita Mui, nickname, Madonna of the East]
Generated description
Madonna of the East is the celebrated nickname of Hong Kong Cantopop icon and actress Anita Mui, highlighting her status as a legendary and influential figure in Asian pop music.

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_69f76daeb6e48190a4c9a6b0edc80f72 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779a436c88190a1f3aceab640202d completed May 3, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a375be61f9881908a4397b148ee1b28 completed June 21, 2026, 3:35 a.m.
NEDg Description generation batch_6a375cb7df048190b0c786ee76dec1bc completed June 21, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a375d2b3c308190b2dc3e3d805005ce completed June 21, 2026, 3:40 a.m.
Created at: May 3, 2026, 3:59 p.m.