Triple

T4826930
Position Surface form Disambiguated ID Type / Status
Subject Geoff Hurst E107847 entity
Predicate familyName P18 FINISHED
Object Hurst
Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
 E471039 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: Hurst | Statement: [Geoff Hurst, familyName, Hurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hurst
Context triple: [Geoff Hurst, familyName, Hurst]
  • A. Crowhurst
    Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
  • B. Baslehurst
    Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • C. Highfield
    Highfield is one of Harare’s oldest and most populous high-density suburbs, historically known as a center of political activism in Zimbabwe.
  • D. Highfield
    Highfield is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • E. Hylton
    Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • 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: Hurst
Triple: [Geoff Hurst, familyName, Hurst]
Generated description
Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hurst
Target entity description: Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
  • A. Crowhurst
    Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
  • B. Baslehurst
    Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • C. Highfield
    Highfield is one of Harare’s oldest and most populous high-density suburbs, historically known as a center of political activism in Zimbabwe.
  • D. Highfield
    Highfield is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • E. Hylton
    Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cb086008190ba8d406e27fc2bdd completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dcd3ecc8190a5223f00344019ff completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e6257e081908c0948945b9b4081 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4eb4cc608190b8f0fef0a8e121f3 completed March 21, 2026, 7:54 a.m.
Created at: March 20, 2026, 1:24 p.m.