Triple

T37923653
Position Surface form Disambiguated ID Type / Status
Subject Archduchess Harriet / Archduke Harry E946032 entity
Predicate hasAlias P455 FINISHED
Object Archduchess Harriet
Archduchess Harriet is a noble title or persona associated with Archduke Harry, likely used as an alternate or stylized identity within a royal or aristocratic context.
E2297682 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: Archduchess Harriet | Statement: [Archduchess Harriet / Archduke Harry, hasAlias, Archduchess Harriet]
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: Archduchess Harriet
Triple: [Archduchess Harriet / Archduke Harry, hasAlias, Archduchess Harriet]
Generated description
Archduchess Harriet is a noble title or persona associated with Archduke Harry, likely used as an alternate or stylized identity within a royal or aristocratic context.

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_69f76ef3b7248190892fb9706423be7c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd7b5840819090be7611586f0a4a completed May 6, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83c0bb2a148190b3e9b7f570a5da3a completed Aug. 18, 2026, 2:17 a.m.
NEDg Description generation batch_6a83c19a154081908303097c65b08b27 completed Aug. 18, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_6a83c1f1ba3c81908a8bf5fb6fc78598 completed Aug. 18, 2026, 2:22 a.m.
Created at: May 3, 2026, 4:20 p.m.