Triple
T19376400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho |
E484678
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Huo
Huo is a transliteration of a Chinese surname and given name that can refer to various individuals in Chinese-speaking contexts.
|
E1372771
|
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: Huo | Statement: [Ho, hasVariant, Huo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huo Context triple: [Ho, hasVariant, Huo]
-
A.
Huo Shu
Huo Shu was a lesser-known son of King Wen of Zhou, associated with the early noble lineages of the Zhou dynasty in ancient China.
-
B.
Houzhao
Houzhao is the given name of Zhu Houzhao, the Ming dynasty emperor known posthumously as the Zhengde Emperor.
-
C.
Huanwu
Huanwu is the given name of Peng Huanwu, a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics.
-
D.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
-
E.
Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
- 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: Huo Triple: [Ho, hasVariant, Huo]
Generated description
Huo is a transliteration of a Chinese surname and given name that can refer to various individuals in Chinese-speaking contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huo Target entity description: Huo is a transliteration of a Chinese surname and given name that can refer to various individuals in Chinese-speaking contexts.
-
A.
Huo Shu
Huo Shu was a lesser-known son of King Wen of Zhou, associated with the early noble lineages of the Zhou dynasty in ancient China.
-
B.
Houzhao
Houzhao is the given name of Zhu Houzhao, the Ming dynasty emperor known posthumously as the Zhengde Emperor.
-
C.
Huanwu
Huanwu is the given name of Peng Huanwu, a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics.
-
D.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
-
E.
Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5c05c08190b91cb32fdb79813b |
completed | April 20, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07241dfc208190896705ec6890b6f7 |
completed | May 15, 2026, 1:48 p.m. |
| NEDg | Description generation | batch_6a0724fd84988190a7eedab55f97bf84 |
completed | May 15, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0725d8da888190a94622b54d68d7c6 |
completed | May 15, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:35 p.m.