Triple

T27909638
Position Surface form Disambiguated ID Type / Status
Subject Empress Dou E705886 entity
Predicate afterDeathTitle P63282 FINISHED
Object Empress Xiaowen
Empress Xiaowen was the posthumous title of Empress Dou, a prominent Han dynasty empress known for her political influence and promotion of Huang-Lao Daoist thought during the reign of Emperor Wen of Han.
 E1832339 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 Xiaowen | Statement: [Empress Dou, afterDeathTitle, Empress Xiaowen]
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 Xiaowen
Triple: [Empress Dou, afterDeathTitle, Empress Xiaowen]
Generated description
Empress Xiaowen was the posthumous title of Empress Dou, a prominent Han dynasty empress known for her political influence and promotion of Huang-Lao Daoist thought during the reign of Emperor Wen of Han.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: afterDeathTitle
Context triple: [Empress Dou, afterDeathTitle, Empress Xiaowen]
  • A. afterDeath
    Indicates that one event, state, or condition occurs subsequent to and as a result of an entity’s death.
  • B. afterDeathOf
    Indicates that one event, state, or condition occurs subsequent to and as a result of the death of a specified entity.
  • C. afterlifeName chosen
    Indicates the name or designation assigned to an entity in an afterlife or post-mortem context.
  • D. afterlife
    Indicates a relationship where an entity exists or experiences a state following physical death or the end of mortal life.
  • E. continuedAfterDeathOf
    Indicates that an action, state, or process persisted beyond and despite the death of a specified entity.
  • 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_69ef96b5aad08190be36a277c31e7004 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a2288e6481908e2c19ef59f1bcb5 completed June 6, 2026, 10:41 p.m.
NEDg Description generation batch_6a24a62011a4819082824ee1642d9b23 completed June 6, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_6a24a6c78e5c81908bba8b3b76a05c5e completed June 6, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 27, 2026, 6:48 p.m.