Triple

T19741279
Position Surface form Disambiguated ID Type / Status
Subject Thomas Shelton E474124 entity
Predicate notableWork P4 FINISHED
Object Zeiglographia
Zeiglographia is a 17th-century shorthand writing system developed by English stenographer Thomas Shelton.
E1392166 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: Zeiglographia | Statement: [Thomas Shelton, notableWork, Zeiglographia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeiglographia
Context triple: [Thomas Shelton, notableWork, Zeiglographia]
  • A. Fonotipia
    Fonotipia was a prestigious early 20th-century record label renowned for its high-quality classical and operatic recordings.
  • B. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • C. Scrawl
    Scrawl is an American indie rock band known for its raw, emotionally direct songs and influential role in the 1980s–1990s underground music scene.
  • D. Scribble
    Scribble is an Apple Pencil feature on iPadOS that converts handwritten input into typed text in real time across compatible apps.
  • E. Mandika
    Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
  • 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: Zeiglographia
Triple: [Thomas Shelton, notableWork, Zeiglographia]
Generated description
Zeiglographia is a 17th-century shorthand writing system developed by English stenographer Thomas Shelton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zeiglographia
Target entity description: Zeiglographia is a 17th-century shorthand writing system developed by English stenographer Thomas Shelton.
  • A. Fonotipia
    Fonotipia was a prestigious early 20th-century record label renowned for its high-quality classical and operatic recordings.
  • B. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • C. Scrawl
    Scrawl is an American indie rock band known for its raw, emotionally direct songs and influential role in the 1980s–1990s underground music scene.
  • D. Scribble
    Scribble is an Apple Pencil feature on iPadOS that converts handwritten input into typed text in real time across compatible apps.
  • E. Mandika
    Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6516159c8819090022094aa91902b completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4fd89488190a1d3b7e43f37e46f completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5a83f708190a317715bc650491b completed May 16, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_6a07b67b11e48190bb841f2f4f1e784c completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:47 p.m.