Triple

T27955995
Position Surface form Disambiguated ID Type / Status
Subject Huo Qubing E703549 entity
Predicate chineseTitle P51900 FINISHED
Object 冠军侯
冠军侯 was the noble title granted to the famed Western Han dynasty general Huo Qubing, celebrated for his decisive victories against the Xiongnu.
 E1798430 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: 冠军侯 | Statement: [Huo Qubing, chineseTitle, 冠军侯]
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: 冠军侯
Triple: [Huo Qubing, chineseTitle, 冠军侯]
Generated description
冠军侯 was the noble title granted to the famed Western Han dynasty general Huo Qubing, celebrated for his decisive victories against the Xiongnu.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: chineseTitle
Context triple: [Huo Qubing, chineseTitle, 冠军侯]
  • A. hasChineseTitle chosen
    Indicates that an entity possesses a title or name expressed in the Chinese language.
  • B. titleInVietnamese
    Indicates that one entity is the title of another entity expressed in the Vietnamese language.
  • C. titleInKanji
    Indicates that one entity is the title of another entity written specifically in Kanji characters.
  • D. titleInKorean
    Indicates that an entity has a specific title expressed in the Korean language.
  • E. titleInLanguage
    Indicates that a specific title or name is expressed in a particular language.
  • F. None of above.

Provenance (6 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_69ef840c8b2c8190946ae9522774ba51 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13116ba76c8190ae2cdc60899795d4 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a1311f106748190b256e38ceb2481f2 completed May 24, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_6a159f7e09a88190a7e25e30dfd87d3d completed May 26, 2026, 1:26 p.m.
PD Predicate disambiguation batch_69f63c6895f0819088655277e45859a8 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 7:28 p.m.