Triple

T1031424
Position Surface form Disambiguated ID Type / Status
Subject Evan Williams E22258 entity
Predicate hasBlog P80 FINISHED
Object Evhead
Evhead is the personal blog of Evan Williams, co-founder of Twitter and Blogger, where he has shared his thoughts on technology, startups, and the web.
 E121467 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: Evhead | Statement: [Evan Williams, hasBlog, Evhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evhead
Context triple: [Evan Williams, hasBlog, Evhead]
  • A. Hat Head
    Hat Head is a small coastal village and national park area in New South Wales, Australia, known for its beaches, headland, and natural bushland.
  • B. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • C. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • D. Black Chew Head
    Black Chew Head is a moorland summit on the border of Greater Manchester and Derbyshire, known as the county top of Greater Manchester.
  • E. Trophis
    Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
  • 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: Evhead
Triple: [Evan Williams, hasBlog, Evhead]
Generated description
Evhead is the personal blog of Evan Williams, co-founder of Twitter and Blogger, where he has shared his thoughts on technology, startups, and the web.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evhead
Target entity description: Evhead is the personal blog of Evan Williams, co-founder of Twitter and Blogger, where he has shared his thoughts on technology, startups, and the web.
  • A. Hat Head
    Hat Head is a small coastal village and national park area in New South Wales, Australia, known for its beaches, headland, and natural bushland.
  • B. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • C. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • D. Black Chew Head
    Black Chew Head is a moorland summit on the border of Greater Manchester and Derbyshire, known as the county top of Greater Manchester.
  • E. Trophis
    Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b810429081908a97014ca740824b completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bbf5a1c819086e1ff529d05f311 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3d80db008190b71b893f9d78ba4b completed March 7, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69ac3df3fea8819080b83c840ffd59a8 completed March 7, 2026, 3:02 p.m.
Created at: March 1, 2026, 7:41 p.m.