Triple

T9889881
Position Surface form Disambiguated ID Type / Status
Subject State of Qin E181425 entity
Predicate founder P104 FINISHED
Object Feizi
Feizi was an early Chinese nobleman of the Zhou dynasty who established the lineage that would become the powerful State of Qin and later unify China under the Qin dynasty.
 E827542 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: Feizi | Statement: [State of Qin, founder, Feizi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feizi
Context triple: [State of Qin, founder, Feizi]
  • A. Boyi
    Boyi is the courtesy name of Jiang Wei, a prominent military general and strategist of the Shu Han state during China’s Three Kingdoms period.
  • B. Beibei
    Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
  • C. Linzi
    Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
  • D. Fuli
    Fuli is a swift and confident cheetah from Disney's "The Lion Guard," known for her speed, independence, and loyalty to her friends.
  • E. Fumi
    Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
  • 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: Feizi
Triple: [State of Qin, founder, Feizi]
Generated description
Feizi was an early Chinese nobleman of the Zhou dynasty who established the lineage that would become the powerful State of Qin and later unify China under the Qin dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feizi
Target entity description: Feizi was an early Chinese nobleman of the Zhou dynasty who established the lineage that would become the powerful State of Qin and later unify China under the Qin dynasty.
  • A. Boyi
    Boyi is the courtesy name of Jiang Wei, a prominent military general and strategist of the Shu Han state during China’s Three Kingdoms period.
  • B. Beibei
    Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
  • C. Linzi
    Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
  • D. Fuli
    Fuli is a swift and confident cheetah from Disney's "The Lion Guard," known for her speed, independence, and loyalty to her friends.
  • E. Fumi
    Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb08075c81908e017df8048daba8 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1eca8703c8190a473fdafa2a2d273 completed April 5, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed2a1318819087a5b787724fa10c completed April 5, 2026, 5:03 a.m.
Created at: March 30, 2026, 8:39 p.m.