Triple
T20893009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang |
E514455
|
entity |
| Predicate | hasPinyin |
P2508
|
FINISHED |
| Object |
Táng
Táng is the Hanyu Pinyin romanization of the Chinese surname and term "唐," historically associated with the Tang dynasty and commonly used as a family name.
|
E1456264
|
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: Táng | Statement: [Tang, hasPinyin, Táng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Táng Context triple: [Tang, hasPinyin, Táng]
-
A.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
B.
Dading
Dading was the era name used during the reign of Emperor Shizong of the Jurchen-led Jin dynasty in northern China.
-
C.
Dading
Dading was a historical Chinese era name used during the Western Wei dynasty in the 6th century.
-
D.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
E.
Daguan
Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
- 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: Táng Triple: [Tang, hasPinyin, Táng]
Generated description
Táng is the Hanyu Pinyin romanization of the Chinese surname and term "唐," historically associated with the Tang dynasty and commonly used as a family name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Táng Target entity description: Táng is the Hanyu Pinyin romanization of the Chinese surname and term "唐," historically associated with the Tang dynasty and commonly used as a family name.
-
A.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
B.
Dading
Dading was the era name used during the reign of Emperor Shizong of the Jurchen-led Jin dynasty in northern China.
-
C.
Dading
Dading was a historical Chinese era name used during the Western Wei dynasty in the 6th century.
-
D.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
E.
Daguan
Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05fecd88190905a0ea80a24406a |
completed | April 21, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918cb2a54819090ba3768c51b3e54 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a091971e5308190acdf4a65b1e67118 |
completed | May 17, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0919f58008819097e05a187ed4b3de |
completed | May 17, 2026, 1:29 a.m. |
Created at: April 16, 2026, 12:46 p.m.