Triple

T26405108
Position Surface form Disambiguated ID Type / Status
Subject Battle of Dongxing E663810 entity
Predicate commanderForCaoWei P167088 FINISHED
Object Hu Zun
Hu Zun was a military general of the state of Cao Wei during China’s Three Kingdoms period, noted for his role in campaigns such as the Battle of Dongxing.
 E1721336 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: Hu Zun | Statement: [Battle of Dongxing, commanderForCaoWei, Hu Zun]
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: Hu Zun
Triple: [Battle of Dongxing, commanderForCaoWei, Hu Zun]
Generated description
Hu Zun was a military general of the state of Cao Wei during China’s Three Kingdoms period, noted for his role in campaigns such as the Battle of Dongxing.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: commanderForCaoWei
Context triple: [Battle of Dongxing, commanderForCaoWei, Hu Zun]
  • A. ChineseCommander
    Indicates that an individual holds a commander role within a Chinese military or armed forces context.
  • B. EasternWuForces
    Indicates a relationship where military forces are associated with, belong to, or act on behalf of the state or faction of Eastern Wu.
  • C. sideCommander
    Indicates that an entity serves as the commanding officer or leader in charge of a particular side or faction in a conflict, operation, or organization.
  • D. BaekjeCommander
    Indicates that one entity serves as a military commander or leader associated with the Baekje kingdom.
  • E. commanderForDefender
    Indicates that an entity serves as the commanding officer or leader responsible for directing and overseeing a defending force or defender.
  • 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6653ccf648190b65fb1141928e47e completed May 2, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a8ee7c081909b6553752573339e completed May 23, 2026, 12:16 p.m.
NEDg Description generation batch_6a119aecff488190a18c1cf803b31502 completed May 23, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a119c2d13388190869495b5b068ab15 completed May 23, 2026, 12:23 p.m.
PD Predicate disambiguation batch_69f6633451948190bcc0410602bb4914 completed May 2, 2026, 8:48 p.m.
PDg Predicate description generation batch_69f663ff176c8190aaadb475f75daee4 completed May 2, 2026, 8:52 p.m.
Created at: April 26, 2026, 11:34 p.m.