Triple

T19011246
Position Surface form Disambiguated ID Type / Status
Subject Telford Shopping Centre E465229 entity
Predicate hasAnchorTenant P11754 FINISHED
Object Next
Next is a British multinational clothing, footwear, and home products retailer known for its high-street fashion stores and online shopping platform.
E137849 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: Next | Statement: [Telford Shopping Centre, hasAnchorTenant, Next]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Next
Context triple: [Telford Shopping Centre, hasAnchorTenant, Next]
  • A. Next
    Next is a work by British author David Tattersall, recognized as one of his notable contributions to contemporary literature.
  • B. Next
    "Next" is a song featured on The Weeknd's mixtape *Echoes of Silence*, known for its dark, atmospheric R&B style and introspective lyrics.
  • C. Next
    "Next" is a lo-fi, introspective song by American musician Zack Villere, known for its vulnerable lyrics and mellow, experimental production.
  • D. Next
    Next is a 2007 science fiction action film starring Nicolas Cage as a man who can see a few minutes into his own future.
  • E. Next
    Next is a science fiction novel by Michael Crichton that explores the ethical, legal, and commercial implications of genetic engineering and biotechnology.
  • 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: Next
Triple: [Telford Shopping Centre, hasAnchorTenant, Next]
Generated description
Next is a British multinational clothing, footwear, and home products retailer known for its high-street fashion stores and online shopping platform.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Next
Target entity description: Next is a British multinational clothing, footwear, and home products retailer known for its high-street fashion stores and online shopping platform.
  • A. Next chosen
    Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
  • B. Next
    Next is a work by British author David Tattersall, recognized as one of his notable contributions to contemporary literature.
  • C. Next
    Next is an American R&B group best known for their late-1990s and early-2000s hits like "Too Close" and "Wifey."
  • D. Next
    Next is a science fiction novel by Michael Crichton that explores the ethical, legal, and commercial implications of genetic engineering and biotechnology.
  • E. Next
    Next is a 2007 science fiction action film starring Nicolas Cage as a man who can see a few minutes into his own future.
  • F. None of above.

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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a8f99081908cf535a4ec11adf7 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b465ee5481908b7f698a4ee01c75 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b4ff2a508190b1e53185ed95e7e9 completed May 14, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_6a05b5689068819087a326219b3ad9e0 completed May 14, 2026, 11:43 a.m.
Created at: April 10, 2026, 12:02 p.m.