Triple

T26003087
Position Surface form Disambiguated ID Type / Status
Subject Epistle to Bathurst E646684 entity
Predicate addressedTo P265 FINISHED
Object Allen Bathurst, 1st Earl Bathurst
Allen Bathurst, 1st Earl Bathurst was an 18th-century British Tory politician and nobleman known for his patronage of literature and close connections with leading writers such as Alexander Pope.
E1730331 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: Allen Bathurst, 1st Earl Bathurst | Statement: [Epistle to Bathurst, addressedTo, Allen Bathurst, 1st Earl Bathurst]
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: Allen Bathurst, 1st Earl Bathurst
Triple: [Epistle to Bathurst, addressedTo, Allen Bathurst, 1st Earl Bathurst]
Generated description
Allen Bathurst, 1st Earl Bathurst was an 18th-century British Tory politician and nobleman known for his patronage of literature and close connections with leading writers such as Alexander Pope.

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_69e77e89d5848190b54352cdb74f6029 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60577c7188190b9a5fef79c150176 completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7e9b7e481909a8d95aca2183267 completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c88b80d08190b2b52b1f347d4eb2 completed May 23, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_6a11c901b7c48190a86f5989c70ab615 completed May 23, 2026, 3:34 p.m.
Created at: April 22, 2026, 9 a.m.