Triple

T28047101
Position Surface form Disambiguated ID Type / Status
Subject Xuande E708713 entity
Predicate bearerPosthumousTitle P110011 FINISHED
Object Emperor Zhaolie of Han
Emperor Zhaolie of Han, better known by his personal name Liu Bei, was the founding emperor of the Shu Han state during China’s Three Kingdoms period and is famed for his role in both historical records and the classic novel "Romance of the Three Kingdoms."
 E2143065 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: Emperor Zhaolie of Han | Statement: [Xuande, bearerPosthumousTitle, Emperor Zhaolie of Han]
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: Emperor Zhaolie of Han
Triple: [Xuande, bearerPosthumousTitle, Emperor Zhaolie of Han]
Generated description
Emperor Zhaolie of Han, better known by his personal name Liu Bei, was the founding emperor of the Shu Han state during China’s Three Kingdoms period and is famed for his role in both historical records and the classic novel "Romance of the Three Kingdoms."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: bearerPosthumousTitle
Context triple: [Xuande, bearerPosthumousTitle, Emperor Zhaolie of Han]
  • A. posthumousTitleOf chosen
    Indicates that one entity is the honorary or formal title granted to another entity after that entity’s death.
  • B. posthumousTitleIn
    Indicates that an entity was granted a specific posthumous title within a particular jurisdiction, period, or context.
  • C. posthumousTitleYear
    Indicates the year in which an entity was formally granted a title or honor after its death.
  • D. posthumousNameType
    Indicates the specific category or style of a posthumous name assigned to a person after their death.
  • E. posthumousSuccess
    Indicates that an entity achieves recognition, fame, or significant success only after its creator or originator has died.
  • 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_69ef9b6df9f48190bbb971d02cbe1b65 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6617ba4a88190bfc5c305acb4f93f completed May 2, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38400ea668819096080fabd29f67e0 completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a3840c3a9008190adfe194ce03be34d completed June 21, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_6a3844a277c48190b9bbb145e14f3a49 completed June 21, 2026, 8:08 p.m.
PD Predicate disambiguation batch_69f660f082508190a95a7888ad66cb2e completed May 2, 2026, 8:39 p.m.
Created at: April 27, 2026, 8:30 p.m.