Triple

T1685311
Position Surface form Disambiguated ID Type / Status
Subject Berthe Morisot E36428 entity
Predicate notableWork P4 FINISHED
Object Reading
"Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
 E191683 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: Reading | Statement: [Berthe Morisot, notableWork, Reading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reading
Context triple: [Berthe Morisot, notableWork, Reading]
  • A. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • B. Reading
    Reading is a historic city in southeastern Pennsylvania known for its industrial heritage, transportation links, and role as a regional cultural and economic center.
  • C. Read
    Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
  • D. The Right to Read
    "The Right to Read" is a short story by Richard Stallman that warns about the dangers of restrictive digital rights management and the loss of freedoms in a future where sharing digital works is criminalized.
  • E. Immersive Reader
    Immersive Reader is a Microsoft tool that enhances reading comprehension and accessibility by simplifying page layouts, reading text aloud, and offering customizable reading preferences.
  • 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: Reading
Triple: [Berthe Morisot, notableWork, Reading]
Generated description
"Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reading
Target entity description: "Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
  • A. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • B. Reading
    Reading is a historic city in southeastern Pennsylvania known for its industrial heritage, transportation links, and role as a regional cultural and economic center.
  • C. Read
    Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
  • D. The Right to Read
    "The Right to Read" is a short story by Richard Stallman that warns about the dangers of restrictive digital rights management and the loss of freedoms in a future where sharing digital works is criminalized.
  • E. Immersive Reader
    Immersive Reader is a Microsoft tool that enhances reading comprehension and accessibility by simplifying page layouts, reading text aloud, and offering customizable reading preferences.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627da0688190bfb5316079bc589a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79901458819098f0be72d9d4a9bb completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad81f90e948190b83078523b1cf3f8 completed March 8, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ad82755910819087aa9940dc1e7495 completed March 8, 2026, 2:06 p.m.
Created at: March 4, 2026, 7:29 p.m.