Triple
T35597005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Lau |
E1028659
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
刘宪华
刘宪华(Henry Lau)是一位拥有中加背景的歌手、作曲人、小提琴与钢琴演奏者,因作为韩国男子组合Super Junior-M成员及其多才多艺的音乐表现而知名。
|
E2147102
|
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: 刘宪华 | Statement: [Henry Lau, nativeName, 刘宪华]
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: 刘宪华 Triple: [Henry Lau, nativeName, 刘宪华]
Generated description
刘宪华(Henry Lau)是一位拥有中加背景的歌手、作曲人、小提琴与钢琴演奏者,因作为韩国男子组合Super Junior-M成员及其多才多艺的音乐表现而知名。
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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79eaa165c819097c47112250cceab |
completed | May 3, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a385bde7b808190b3c28ba160885cf2 |
completed | June 21, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_6a385ca70cc08190abfd88ab51828c9f |
completed | June 21, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a385d704a348190ba1e2de0a90f11f7 |
completed | June 21, 2026, 9:53 p.m. |
Created at: May 3, 2026, 4:05 p.m.