Triple

T30192223
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaozhaoren E767520 entity
Predicate titleInManchu P89513 FINISHED
Object hiyoošungga hūwangheo
hiyoošungga hūwangheo is the Manchu honorific title referring to Empress Xiaozhaoren, a Qing dynasty empress consort of the Kangxi Emperor.
 E1902982 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: hiyoošungga hūwangheo | Statement: [Empress Xiaozhaoren, titleInManchu, hiyoošungga hūwangheo]
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: hiyoošungga hūwangheo
Triple: [Empress Xiaozhaoren, titleInManchu, hiyoošungga hūwangheo]
Generated description
hiyoošungga hūwangheo is the Manchu honorific title referring to Empress Xiaozhaoren, a Qing dynasty empress consort of the Kangxi Emperor.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleInManchu
Context triple: [Empress Xiaozhaoren, titleInManchu, hiyoošungga hūwangheo]
  • A. titleInKanji
    Indicates that one entity is the title of another entity written specifically in Kanji characters.
  • B. titleInKorean
    Indicates that an entity has a specific title expressed in the Korean language.
  • C. titleInJapanese
    Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
  • D. titleInLanguage chosen
    Indicates that a specific title or name is expressed in a particular language.
  • E. titleInRussian
    Indicates that an entity’s title is given or recorded in the Russian 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_69f2247db1108190835c0727c97637c3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27587433788190b0d9d67b9bd6a21c completed June 9, 2026, 12:04 a.m.
NEDg Description generation batch_6a275a7e7e78819088b7aef8057de369 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b67290c8190bb71f367c87d8e09 completed June 9, 2026, 12:16 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: April 29, 2026, 7:29 p.m.