Triple

T15039697
Position Surface form Disambiguated ID Type / Status
Subject WH Smith Literary Award E378567 entity
Predicate sponsor P67 FINISHED
Object WHSmith
WHSmith is a major British retail chain best known for selling books, stationery, magazines, and related products in high-street and travel locations.
 E1133275 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: WHSmith | Statement: [WH Smith Literary Award, sponsor, WHSmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WHSmith
Context triple: [WH Smith Literary Award, sponsor, WHSmith]
  • A. Hamleys
    Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
  • B. Sainsbury
    Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
  • C. Hatchards
    Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
  • D. Debenhams
    Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
  • E. Asda
    Asda is a major British supermarket and retail chain known for its low-cost groceries, general merchandise, and large-format stores across the United Kingdom.
  • 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: WHSmith
Triple: [WH Smith Literary Award, sponsor, WHSmith]
Generated description
WHSmith is a major British retail chain best known for selling books, stationery, magazines, and related products in high-street and travel locations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WHSmith
Target entity description: WHSmith is a major British retail chain best known for selling books, stationery, magazines, and related products in high-street and travel locations.
  • A. Hamleys
    Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
  • B. Sainsbury
    Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
  • C. Hatchards
    Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
  • D. Debenhams
    Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
  • E. Asda
    Asda is a major British supermarket and retail chain known for its low-cost groceries, general merchandise, and large-format stores across the United Kingdom.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de1c3a48190a9b3959a95627175 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9fdba3c48190b1d370f7c066801f completed May 9, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fea0b87db881909607bcf0df5b0979 completed May 9, 2026, 2:49 a.m.
Created at: April 10, 2026, 3 a.m.