Triple

T18204243
Position Surface form Disambiguated ID Type / Status
Subject RoBERTa E435864 entity
Predicate trainingDataSource P21073 FINISHED
Object BookCorpus NE NERFINISHED

How this triple was built (3 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: BookCorpus | Statement: [RoBERTa, trainingDataSource, BookCorpus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BookCorpus
Context triple: [RoBERTa, trainingDataSource, BookCorpus]
  • A. WebText dataset
    The WebText dataset is a large-scale corpus of web pages curated by OpenAI to train language models like GPT-2 on diverse, high-quality internet text.
  • B. Corpus
    Corpus is a common shortened name for Corpus Christi College, one of the historic constituent colleges of the University of Cambridge.
  • C. Collins Corpus
    Collins Corpus is a large, computer-readable collection of real-world English texts used by Collins for corpus-based lexicography and language research.
  • D. CORDE corpus
    The CORDE corpus is a large historical Spanish language corpus compiled by the Royal Spanish Academy, used for studying the evolution and usage of Spanish over time.
  • E. Waverley Novels corpus
    The Waverley Novels corpus is the collective body of historical novels by Sir Walter Scott that helped establish the genre and shaped 19th-century historical fiction.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BookCorpus
Target entity description: BookCorpus is a large collection of freely available books commonly used as a pretraining dataset for natural language processing models.
  • A. WebText dataset
    The WebText dataset is a large-scale corpus of web pages curated by OpenAI to train language models like GPT-2 on diverse, high-quality internet text.
  • B. Corpus
    Corpus is a common shortened name for Corpus Christi College, one of the historic constituent colleges of the University of Cambridge.
  • C. Collins Corpus
    Collins Corpus is a large, computer-readable collection of real-world English texts used by Collins for corpus-based lexicography and language research.
  • D. CORDE corpus
    The CORDE corpus is a large historical Spanish language corpus compiled by the Royal Spanish Academy, used for studying the evolution and usage of Spanish over time.
  • E. Waverley Novels corpus
    The Waverley Novels corpus is the collective body of historical novels by Sir Walter Scott that helped establish the genre and shaped 19th-century historical fiction.
  • F. None of above. chosen

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e221bbbc819088a7559a46b7d4e7 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.