Triple

T18314441
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaoxianchun E438718 entity
Predicate personalName P24312 FINISHED
Object Fuca
Fuca was the personal name of Empress Xiaoxianchun, the primary consort of the Qianlong Emperor of the Qing dynasty and a highly respected empress in Chinese imperial history.
 E1318557 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: Fuca | Statement: [Empress Xiaoxianchun, personalName, Fuca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fuca
Context triple: [Empress Xiaoxianchun, personalName, Fuca]
  • A. Gourette
    Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
  • B. Fouka
    Fouka is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • C. Lisberg
    Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
  • D. Fusso
    Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
  • E. Souchon
    Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
  • 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: Fuca
Triple: [Empress Xiaoxianchun, personalName, Fuca]
Generated description
Fuca was the personal name of Empress Xiaoxianchun, the primary consort of the Qianlong Emperor of the Qing dynasty and a highly respected empress in Chinese imperial history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fuca
Target entity description: Fuca was the personal name of Empress Xiaoxianchun, the primary consort of the Qianlong Emperor of the Qing dynasty and a highly respected empress in Chinese imperial history.
  • A. Gourette
    Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
  • B. Fouka
    Fouka is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • C. Lisberg
    Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
  • D. Fusso
    Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
  • E. Souchon
    Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c1d8048190916dcc7146d15bc4 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c66b72a0819081fe77b42060d6de completed May 13, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_6a03c6f191b081909a0e65fa1d553b82 completed May 13, 2026, 12:33 a.m.
Created at: April 10, 2026, 10:36 a.m.