Triple
T17006604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hundred Family Surnames |
E412586
|
entity |
| Predicate | hasTitleInChinese |
P51900
|
FINISHED |
| Object |
百家姓
百家姓 is a classic Chinese text compiled in the Song dynasty that lists and standardizes common Chinese surnames, historically used as a primer for teaching literacy.
|
E1244498
|
NE FINISHED |
How this triple was built (4 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: 百家姓 | Statement: [Hundred Family Surnames, hasTitleInChinese, 百家姓]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 百家姓 Context triple: [Hundred Family Surnames, hasTitleInChinese, 百家姓]
-
A.
熊氏
熊氏 is a Chinese surname and clan name historically associated with various lineages and families bearing the character "熊" (bear).
-
B.
胡
胡 is a common Chinese character used both as a surname and in various words, often historically associated with non-Han peoples or regions to the north and west of China.
-
C.
和子
和子 is a common Japanese feminine given name that can be written with kanji meaning “harmony” and “child.”
-
D.
杨氏
杨氏 is a historic Chinese surname associated with numerous influential clans, figures, and lineages throughout Chinese history.
-
E.
郭
郭 is a common Chinese surname borne by numerous individuals across the Chinese-speaking world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 百家姓 Triple: [Hundred Family Surnames, hasTitleInChinese, 百家姓]
Generated description
百家姓 is a classic Chinese text compiled in the Song dynasty that lists and standardizes common Chinese surnames, historically used as a primer for teaching literacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 百家姓 Target entity description: 百家姓 is a classic Chinese text compiled in the Song dynasty that lists and standardizes common Chinese surnames, historically used as a primer for teaching literacy.
-
A.
熊氏
熊氏 is a Chinese surname and clan name historically associated with various lineages and families bearing the character "熊" (bear).
-
B.
胡
胡 is a common Chinese character used both as a surname and in various words, often historically associated with non-Han peoples or regions to the north and west of China.
-
C.
和子
和子 is a common Japanese feminine given name that can be written with kanji meaning “harmony” and “child.”
-
D.
杨氏
杨氏 is a historic Chinese surname associated with numerous influential clans, figures, and lineages throughout Chinese history.
-
E.
郭
郭 is a common Chinese surname borne by numerous individuals across the Chinese-speaking world.
- F. None of above. chosen
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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3831268819089286053a5acf653 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc222d108190934ef2b3aa46aa22 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d7d03c8190943777f4eac956fd |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01159a08b081908fc82adc7cca532a |
completed | May 10, 2026, 11:32 p.m. |
Created at: April 10, 2026, 5:32 a.m.