Triple

T33720187
Position Surface form Disambiguated ID Type / Status
Subject Earl of Jersey E863989 entity
Predicate hasTitleHolder P1911 FINISHED
Object George Bussy Villiers, 4th Earl of Jersey
George Bussy Villiers, 4th Earl of Jersey, was a British peer and politician of the 19th century who served in various court and governmental roles within the United Kingdom’s aristocratic establishment.
E2074979 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: George Bussy Villiers, 4th Earl of Jersey | Statement: [Earl of Jersey, hasTitleHolder, George Bussy Villiers, 4th Earl of Jersey]
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: George Bussy Villiers, 4th Earl of Jersey
Triple: [Earl of Jersey, hasTitleHolder, George Bussy Villiers, 4th Earl of Jersey]
Generated description
George Bussy Villiers, 4th Earl of Jersey, was a British peer and politician of the 19th century who served in various court and governmental roles within the United Kingdom’s aristocratic establishment.

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_69f34989871c81908682e22a2fe4b829 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6faeac9288190ac7ce78ea3cdb622 completed May 3, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689bba6d08190b69a353ade4237e0 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368ae5386c8190959b35a5bc3b1458 completed June 20, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a368b6ab2f081908533468e8b52468e completed June 20, 2026, 12:45 p.m.
Created at: May 1, 2026, 1:44 a.m.