Triple

T23337600
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaojingcheng E591638 entity
Predicate successorAsPrincipalWomanOfCourt P151922 FINISHED
Object Empress Xiaodexian
Empress Xiaodexian was a Qing dynasty empress consort of the Xianfeng Emperor, known for her posthumous elevation and role in the imperial harem during a period of dynastic decline.
 E1600884 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: Empress Xiaodexian | Statement: [Empress Xiaojingcheng, successorAsPrincipalWomanOfCourt, Empress Xiaodexian]
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: Empress Xiaodexian
Triple: [Empress Xiaojingcheng, successorAsPrincipalWomanOfCourt, Empress Xiaodexian]
Generated description
Empress Xiaodexian was a Qing dynasty empress consort of the Xianfeng Emperor, known for her posthumous elevation and role in the imperial harem during a period of dynastic decline.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: successorAsPrincipalWomanOfCourt
Context triple: [Empress Xiaojingcheng, successorAsPrincipalWomanOfCourt, Empress Xiaodexian]
  • A. successorAsPrincipalQueen
    Indicates that one individual becomes the next principal queen, directly succeeding another in that primary royal consort role.
  • B. successorAsGreatRoyalWife
    Indicates that one individual became the next holder of the position or role of Great Royal Wife after another individual.
  • C. successorAsQueenConsort
    Indicates that one individual became the next queen consort following another in a royal succession.
  • D. successorAsQueenMother
    Indicates that one individual assumed the role of Queen Mother directly after another individual, succeeding her in that specific position.
  • E. successorAsSecondLady
    Indicates that one person became the next Second Lady, directly following another in that role.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f5372973c8190936351df7e92dc11 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f54d5f37481909f3bf36772aa3493 completed May 21, 2026, 6:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f55a3a5588190bd6313aacab674a4 completed May 21, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69effcfd8d288190937a887fe6023c11 completed April 28, 2026, 12:19 a.m.
PDg Predicate description generation batch_69f01d88b4ec8190a2a17a88e0eda178 completed April 28, 2026, 2:38 a.m.
Created at: April 17, 2026, 5:17 p.m.