Triple

T5105341
Position Surface form Disambiguated ID Type / Status
Subject Dave Winer E115077 entity
Predicate familyName P18 FINISHED
Object Winer
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
 E494238 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: Winer | Statement: [Dave Winer, familyName, Winer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winer
Context triple: [Dave Winer, familyName, Winer]
  • A. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • B. Vang
    Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
  • C. Zisling
    Zisling is a Hebrew-language surname most notably associated with Israeli politician and kibbutz movement leader Aharon Zisling.
  • D. Champagne
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • E. Robola wine
    Robola wine is a crisp, aromatic white wine from the Greek island of Kefalonia, known for its citrusy minerality and vibrant acidity.
  • 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: Winer
Triple: [Dave Winer, familyName, Winer]
Generated description
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winer
Target entity description: Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • A. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • B. Vang
    Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
  • C. Zisling
    Zisling is a Hebrew-language surname most notably associated with Israeli politician and kibbutz movement leader Aharon Zisling.
  • D. Champagne
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • E. Robola wine
    Robola wine is a crisp, aromatic white wine from the Greek island of Kefalonia, known for its citrusy minerality and vibrant acidity.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7589e40c8190a46e4a1b7142be14 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba95dbd48190a7d87f3af77424e0 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb5e60e08190b030f5eeaac49ab7 completed March 21, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69bebd1f6e348190b61c89706b683ff3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:41 p.m.