Triple
T27959495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dianlun |
E704539
|
entity |
| Predicate | workTitleInChinese |
P163988
|
FINISHED |
| Object |
典論
典論 is an early Chinese literary-critical work, traditionally attributed to Cao Pi, that discusses the principles of literature and the evaluation of writers.
|
E1796938
|
NE FINISHED |
How this triple was built (3 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: 典論 | Statement: [Dianlun, workTitleInChinese, 典論]
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: 典論 Triple: [Dianlun, workTitleInChinese, 典論]
Generated description
典論 is an early Chinese literary-critical work, traditionally attributed to Cao Pi, that discusses the principles of literature and the evaluation of writers.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleInChinese Context triple: [Dianlun, workTitleInChinese, 典論]
-
A.
workTitleInLatinScript
Indicates that the title of a work is expressed using a Latin-based writing system.
-
B.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
C.
hasWorkTitleInPinyin
Indicates that an entity’s work title is represented in the Pinyin (romanized Chinese) form.
-
D.
workTitleInPortuguese
Indicates that the relationship specifies the title of a work as expressed in the Portuguese language.
-
E.
workTitleWithOpus
Indicates that a work’s title is associated with a specific opus number designation.
- F. None of above. chosen
Provenance (7 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13116d59c88190bb9f465e0b8e8517 |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a13123ff90c8190990bfee6acf6bec0 |
completed | May 24, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1313b4fa4c81909b37b7a51f926f45 |
completed | May 24, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 7:30 p.m.