Triple

T18085643
Position Surface form Disambiguated ID Type / Status
Subject Anya Hindmarch E432826 entity
Predicate familyName P18 FINISHED
Object Hindmarch
Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
 E1305988 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: Hindmarch | Statement: [Anya Hindmarch, familyName, Hindmarch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hindmarch
Context triple: [Anya Hindmarch, familyName, Hindmarch]
  • A. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • B. Blatchford
    Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
  • C. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • D. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • E. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • 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: Hindmarch
Triple: [Anya Hindmarch, familyName, Hindmarch]
Generated description
Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hindmarch
Target entity description: Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
  • A. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • B. Blatchford
    Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
  • C. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • D. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • E. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d97912c8190b5d281ddd08de4f1 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036e9077308190be6e7d228dcf11b4 completed May 12, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a03795b255c8190a84ca0ce2fda4599 completed May 12, 2026, 7:02 p.m.
Created at: April 10, 2026, 10:27 a.m.