Triple

T32502727
Position Surface form Disambiguated ID Type / Status
Subject Maudslay E830706 entity
Predicate hasNotableBearer P458 FINISHED
Object Reginald Walter Maudslay
Reginald Walter Maudslay was a British engineer and industrialist best known as the founder of the Standard Motor Company, a major early 20th-century automobile manufacturer.
 E2012011 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: Reginald Walter Maudslay | Statement: [Maudslay, hasNotableBearer, Reginald Walter Maudslay]
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: Reginald Walter Maudslay
Triple: [Maudslay, hasNotableBearer, Reginald Walter Maudslay]
Generated description
Reginald Walter Maudslay was a British engineer and industrialist best known as the founder of the Standard Motor Company, a major early 20th-century automobile manufacturer.

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_69f349219cb8819087e120f509629c1b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c447cc8481909ecc03f5b914fc89 completed May 3, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b78e5908190bd9ef479832823c5 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347c29d29c819085157ac0ed98a2f0 completed June 18, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a347d86b008819099f202b5d0f6a0d6 completed June 18, 2026, 11:21 p.m.
Created at: May 1, 2026, 12:59 a.m.