Triple

T38109636
Position Surface form Disambiguated ID Type / Status
Subject Francis Russell, 7th Duke of Bedford E951619 entity
Predicate spouse P13 FINISHED
Object Anna Maria Stanhope
Anna Maria Stanhope was a British aristocrat and social figure of the early 19th century, best known as the wife of Francis Russell, 7th Duke of Bedford.
E2258160 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: Anna Maria Stanhope | Statement: [Francis Russell, 7th Duke of Bedford, spouse, Anna Maria Stanhope]
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: Anna Maria Stanhope
Triple: [Francis Russell, 7th Duke of Bedford, spouse, Anna Maria Stanhope]
Generated description
Anna Maria Stanhope was a British aristocrat and social figure of the early 19th century, best known as the wife of Francis Russell, 7th Duke of Bedford.

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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc45aa4dd48190bfef03eca93849e5 completed May 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41711ba9188190b4bf36ed87164140 completed June 28, 2026, 7:08 p.m.
NEDg Description generation batch_6a4172291ffc8190a67594e8b2cb42e0 completed June 28, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_6a4172cc0a288190a82f0f22593f5861 completed June 28, 2026, 7:15 p.m.
Created at: May 3, 2026, 4:21 p.m.