Triple

T27774244
Position Surface form Disambiguated ID Type / Status
Subject Empress Lü Zhi E699140 entity
Predicate positionHeld P8 FINISHED
Object Empress Dowager of Han
The Empress Dowager of Han was the powerful matriarchal title held by the emperor’s mother or widow in the Han dynasty, often serving as the real center of political authority behind the throne.
E1869808 NE FINISHED

How this triple was built (2 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 Dowager of Han | Statement: [Empress Lü Zhi, positionHeld, Empress Dowager 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: Empress Dowager of Han
Triple: [Empress Lü Zhi, positionHeld, Empress Dowager of Han]
Generated description
The Empress Dowager of Han was the powerful matriarchal title held by the emperor’s mother or widow in the Han dynasty, often serving as the real center of political authority behind the throne.

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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63798a67c8190876c47dacf89af6e completed May 2, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f0e5676c81908f306e37a08bd6fc completed June 7, 2026, 10:29 p.m.
NEDg Description generation batch_6a25f552f99881909b71511c1e143e8e completed June 7, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_6a25f92f6744819093a671170bd83115 completed June 7, 2026, 11:05 p.m.
Created at: April 27, 2026, 5:04 p.m.