Triple

T9740865
Position Surface form Disambiguated ID Type / Status
Subject Ashton E236180 entity
Predicate hasVariantForm P457 FINISHED
Object Ashtyn
Ashtyn is a given name, typically a modern variant spelling of Ashton used for any gender.
E818782 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: Ashtyn | Statement: [Ashton, hasVariantForm, Ashtyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashtyn
Context triple: [Ashton, hasVariantForm, Ashtyn]
  • A. Akhstala
    Akhstala is a village in northern Armenia known for its historic Akhtala Monastery and its location in the Debed River valley.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Aynho
    Aynho is a historic village in Northamptonshire, England, known for its picturesque setting near the River Cherwell and traditional stone architecture.
  • D. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • E. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • 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: Ashtyn
Triple: [Ashton, hasVariantForm, Ashtyn]
Generated description
Ashtyn is a given name, typically a modern variant spelling of Ashton used for any gender.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashtyn
Target entity description: Ashtyn is a given name, typically a modern variant spelling of Ashton used for any gender.
  • A. Akhstala
    Akhstala is a village in northern Armenia known for its historic Akhtala Monastery and its location in the Debed River valley.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Aynho
    Aynho is a historic village in Northamptonshire, England, known for its picturesque setting near the River Cherwell and traditional stone architecture.
  • D. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • E. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe974608190874e2aba2189de80 completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b08ba1f48190830852f9d60e3368 completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b124659481909e7a2ecaf01d8a50 completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:22 p.m.