Triple

T19905121
Position Surface form Disambiguated ID Type / Status
Subject Whitepages E478392 entity
Predicate hasProduct P3585 FINISHED
Object Whitepages Premium
Whitepages Premium is a paid people-search and background information service that provides detailed contact, address, and public records data beyond what’s available in the free Whitepages offering.
 E1401748 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: Whitepages Premium | Statement: [Whitepages, hasProduct, Whitepages Premium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whitepages Premium
Context triple: [Whitepages, hasProduct, Whitepages Premium]
  • A. Sanborns
    Sanborns is a prominent Mexican retail and restaurant chain known for its department stores, cafés, and historic flagship locations.
  • B. Bliley
    Bliley is the surname of American politician Thomas J. Bliley Jr., who served as a U.S. Representative from Virginia.
  • C. Leland
    Leland is a residential neighborhood located within the city of Compton, California.
  • D. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • E. Bradeley
    Bradeley is a residential area within the city of Stoke-on-Trent in Staffordshire, England.
  • 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: Whitepages Premium
Triple: [Whitepages, hasProduct, Whitepages Premium]
Generated description
Whitepages Premium is a paid people-search and background information service that provides detailed contact, address, and public records data beyond what’s available in the free Whitepages offering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whitepages Premium
Target entity description: Whitepages Premium is a paid people-search and background information service that provides detailed contact, address, and public records data beyond what’s available in the free Whitepages offering.
  • A. Sanborns
    Sanborns is a prominent Mexican retail and restaurant chain known for its department stores, cafés, and historic flagship locations.
  • B. Bliley
    Bliley is the surname of American politician Thomas J. Bliley Jr., who served as a U.S. Representative from Virginia.
  • C. Leland
    Leland is a residential neighborhood located within the city of Compton, California.
  • D. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • E. Bradeley
    Bradeley is a residential area within the city of Stoke-on-Trent in Staffordshire, England.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65945cc2081908224902d5f042d7a completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea473de88190aecf750fe536a8b3 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ec3b2c088190b98bd03d132e1b4e completed May 16, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07ecb5ec708190bc79a1be73f746d9 completed May 16, 2026, 4:04 a.m.
Created at: April 10, 2026, 1:52 p.m.