Triple
T9712128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yan (surname) |
E235045
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object |
晏
晏 is a Chinese surname and given name character that historically conveys meanings related to tranquility, serenity, and peacefulness.
|
E816899
|
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: 晏 | Statement: [Yan (surname), canBeWrittenAs, 晏]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 晏 Context triple: [Yan (surname), canBeWrittenAs, 晏]
-
A.
艾
艾 is a common Chinese character used both as a surname and in words related to mugwort, love, or sorrow, depending on context.
-
B.
邾
邾 is an ancient Chinese state name and character historically used as a toponym and surname in the context of the Zhou dynasty feudal system.
-
C.
詹
詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
-
D.
冯
冯 is a common Chinese surname with ancient origins, used by many notable historical and contemporary figures.
-
E.
昴
昴 is the Japanese kanji representation of the name "Subaru," commonly associated with the car manufacturer and the Pleiades star cluster.
- 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: 晏 Triple: [Yan (surname), canBeWrittenAs, 晏]
Generated description
晏 is a Chinese surname and given name character that historically conveys meanings related to tranquility, serenity, and peacefulness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 晏 Target entity description: 晏 is a Chinese surname and given name character that historically conveys meanings related to tranquility, serenity, and peacefulness.
-
A.
艾
艾 is a common Chinese character used both as a surname and in words related to mugwort, love, or sorrow, depending on context.
-
B.
邾
邾 is an ancient Chinese state name and character historically used as a toponym and surname in the context of the Zhou dynasty feudal system.
-
C.
詹
詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
-
D.
冯
冯 is a common Chinese surname with ancient origins, used by many notable historical and contemporary figures.
-
E.
昴
昴 is the Japanese kanji representation of the name "Subaru," commonly associated with the car manufacturer and the Pleiades star cluster.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a0326dd081909e39e422c11cc08f |
completed | April 4, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0c05aa88190a93b0b71bef5c417 |
completed | April 4, 2026, 11:37 p.m. |
Created at: March 30, 2026, 8:19 p.m.