Triple

T14742348
Position Surface form Disambiguated ID Type / Status
Subject Johnathan Thurston E346379 entity
Predicate familyName P18 FINISHED
Object Thurston
Thurston is a surname most prominently associated with Johnathan Thurston, one of Australia’s greatest rugby league players.
E1116922 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: Thurston | Statement: [Johnathan Thurston, familyName, Thurston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thurston
Context triple: [Johnathan Thurston, familyName, Thurston]
  • A. Thurston
    Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
  • B. Douglas
    Douglas is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
  • C. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • D. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • E. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • 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: Thurston
Triple: [Johnathan Thurston, familyName, Thurston]
Generated description
Thurston is a surname most prominently associated with Johnathan Thurston, one of Australia’s greatest rugby league players.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thurston
Target entity description: Thurston is a surname most prominently associated with Johnathan Thurston, one of Australia’s greatest rugby league players.
  • A. Thurston
    Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
  • B. Douglas
    Douglas is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
  • C. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • D. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • E. Douglas
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7367a1c819081082cc355e385fa completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdff025e00819089ad734f74b64f26 completed May 8, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_69fdff8bdefc8190a4a66c742e1cae83 completed May 8, 2026, 3:21 p.m.
Created at: April 10, 2026, 1:30 a.m.