Triple

T4517186
Position Surface form Disambiguated ID Type / Status
Subject Notes on the Analytical Engine E103179 entity
Predicate hasPart P35 FINISHED
Object Note G
Note G is Ada Lovelace’s famous section of her “Notes on the Analytical Engine,” often cited as the first published computer program and a foundational document in the history of computing.
E449090 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: Note G | Statement: [Notes on the Analytical Engine, hasPart, Note G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Note G
Context triple: [Notes on the Analytical Engine, hasPart, Note G]
  • A. NB
    NB is the official two-letter Canada Post abbreviation for the province of New Brunswick.
  • B. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • C. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • D. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • E. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • 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: Note G
Triple: [Notes on the Analytical Engine, hasPart, Note G]
Generated description
Note G is Ada Lovelace’s famous section of her “Notes on the Analytical Engine,” often cited as the first published computer program and a foundational document in the history of computing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Note G
Target entity description: Note G is Ada Lovelace’s famous section of her “Notes on the Analytical Engine,” often cited as the first published computer program and a foundational document in the history of computing.
  • A. NB
    NB is the official two-letter Canada Post abbreviation for the province of New Brunswick.
  • B. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • C. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • D. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • E. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd572933408190b67c4ef6a7babe75 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f93a6808190bc1290232998184c completed March 20, 2026, 5:10 p.m.
NEDg Description generation batch_69bd9df55108819095f727f112cb41cf completed March 20, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69bd9eab6c60819088407768561d3715 completed March 20, 2026, 7:23 p.m.
Created at: March 20, 2026, 1:02 p.m.