Triple

T8122193
Position Surface form Disambiguated ID Type / Status
Subject Lenny Henry E189635 entity
Predicate givenName P17 FINISHED
Object Lenworth
Lenworth is the birth name of British comedian, actor, and television presenter Lenny Henry.
 E714519 NE FINISHED

How this triple was built (4 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: Lenworth | Statement: [Lenny Henry, givenName, Lenworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lenworth
Context triple: [Lenny Henry, givenName, Lenworth]
  • A. Chamberlayne
    Chamberlayne is an English surname historically associated with various notable families and individuals in Britain.
  • B. Balderstone
    Balderstone is a district and residential area within the Balderstone and Kirkholt ward of Rochdale in Greater Manchester, England.
  • C. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • D. Grosmont
    Grosmont is a historic village in Monmouthshire, Wales, known for its medieval castle and picturesque rural setting near the Welsh–English border.
  • E. Stanhope
    Stanhope is an English surname historically associated with several notable figures in British politics, literature, and the aristocracy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lenworth
Triple: [Lenny Henry, givenName, Lenworth]
Generated description
Lenworth is the birth name of British comedian, actor, and television presenter Lenny Henry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lenworth
Target entity description: Lenworth is the birth name of British comedian, actor, and television presenter Lenny Henry.
  • A. Chamberlayne
    Chamberlayne is an English surname historically associated with various notable families and individuals in Britain.
  • B. Balderstone
    Balderstone is a district and residential area within the Balderstone and Kirkholt ward of Rochdale in Greater Manchester, England.
  • C. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • D. Grosmont
    Grosmont is a historic village in Monmouthshire, Wales, known for its medieval castle and picturesque rural setting near the Welsh–English border.
  • E. Stanhope
    Stanhope is an English surname historically associated with several notable figures in British politics, literature, and the aristocracy.
  • F. None of above. chosen

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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435cb30881909ccaa2f625e53799 completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc945c743c8190bf1d8e60975bd8bc completed April 1, 2026, 3:43 a.m.
NEDg Description generation batch_69cc976995e481908a7e8f3b49c2784b completed April 1, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69cca843fbc0819098d1841fcef25eaa completed April 1, 2026, 5:08 a.m.
Created at: March 30, 2026, 5:33 p.m.