Triple

T5214178
Position Surface form Disambiguated ID Type / Status
Subject Jon Whiteley E117707 entity
Predicate familyName P18 FINISHED
Object Whiteley
Whiteley is a surname of English origin borne by various notable individuals across fields such as acting, art, and business.
 E503701 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: Whiteley | Statement: [Jon Whiteley, familyName, Whiteley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whiteley
Context triple: [Jon Whiteley, familyName, Whiteley]
  • A. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • B. Whalley
    Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
  • C. Ladywell
    Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • D. Ladywell
    Ladywell is a residential district in the London Borough of Lewisham, known for its local high street, green spaces, and commuter rail links into central London.
  • E. Whitelaw
    Whitelaw is a masculine given name most notably borne by American politician, diplomat, and newspaper editor Whitelaw Reid.
  • 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: Whiteley
Triple: [Jon Whiteley, familyName, Whiteley]
Generated description
Whiteley is a surname of English origin borne by various notable individuals across fields such as acting, art, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whiteley
Target entity description: Whiteley is a surname of English origin borne by various notable individuals across fields such as acting, art, and business.
  • A. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • B. Whalley
    Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
  • C. Ladywell
    Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • D. Ladywell
    Ladywell is a residential district in the London Borough of Lewisham, known for its local high street, green spaces, and commuter rail links into central London.
  • E. Whitelaw
    Whitelaw is a masculine given name most notably borne by American politician, diplomat, and newspaper editor Whitelaw Reid.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefe325988190b35e3502f147c9c2 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0b2b6448190be1c465738be741b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef121817c8190aebd27ee34c0a419 completed March 21, 2026, 7:27 p.m.
Created at: March 20, 2026, 1:47 p.m.