Triple

T28220490
Position Surface form Disambiguated ID Type / Status
Subject Harriet Kenrick E711440 entity
Predicate memberOf P10 FINISHED
Object Birmingham-based Kenrick family
The Birmingham-based Kenrick family is a prominent English industrial and political dynasty known for its influential role in the city’s metalworking industry and civic life during the 19th and early 20th centuries.
 E1807224 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: Birmingham-based Kenrick family | Statement: [Harriet Kenrick, memberOf, Birmingham-based Kenrick family]
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: Birmingham-based Kenrick family
Triple: [Harriet Kenrick, memberOf, Birmingham-based Kenrick family]
Generated description
The Birmingham-based Kenrick family is a prominent English industrial and political dynasty known for its influential role in the city’s metalworking industry and civic life during the 19th and early 20th centuries.

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_69efb51dfb048190ada79b745c33b363 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643510bd081908e5ecec04b64d62f completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6c74ccc8190ad6ddfbf16f8a5b9 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15e84677308190bce7befb84a7f051 completed May 26, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_6a15e88498888190b846228954d21189 completed May 26, 2026, 6:37 p.m.
Created at: April 27, 2026, 10:46 p.m.