Triple

T18204215
Position Surface form Disambiguated ID Type / Status
Subject GPT-Neo E435863 entity
Predicate trainingData P21226 FINISHED
Object The Pile
The Pile is a large, diverse open-source text dataset widely used for training and evaluating large language models.
 E1312407 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: The Pile | Statement: [GPT-Neo, trainingData, The Pile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Pile
Context triple: [GPT-Neo, trainingData, The Pile]
  • A. Pile
    Pile is a surname of English origin borne by various individuals, including the character Ken Pile.
  • B. Babbletower
    Babbletower is a fictional work set within the universe of the Babel Tower series.
  • C. Gorogoa
    Gorogoa is a hand-illustrated, narrative puzzle video game known for its innovative panel-manipulation mechanics and seamless, story-driven visual design.
  • D. Pullum
    Pullum is the surname of Geoffrey Pullum, a prominent linguist known for his work on English grammar and his co-authorship of *The Cambridge Grammar of the English Language*.
  • E. Pofi
    Pofi is a small Italian town in the Lazio region, known for its volcanic landscape and archaeological finds dating back to prehistoric times.
  • 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: The Pile
Triple: [GPT-Neo, trainingData, The Pile]
Generated description
The Pile is a large, diverse open-source text dataset widely used for training and evaluating large language models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Pile
Target entity description: The Pile is a large, diverse open-source text dataset widely used for training and evaluating large language models.
  • A. Pile
    Pile is a surname of English origin borne by various individuals, including the character Ken Pile.
  • B. Babbletower
    Babbletower is a fictional work set within the universe of the Babel Tower series.
  • C. Gorogoa
    Gorogoa is a hand-illustrated, narrative puzzle video game known for its innovative panel-manipulation mechanics and seamless, story-driven visual design.
  • D. Pullum
    Pullum is the surname of Geoffrey Pullum, a prominent linguist known for his work on English grammar and his co-authorship of *The Cambridge Grammar of the English Language*.
  • E. Pofi
    Pofi is a small Italian town in the Lazio region, known for its volcanic landscape and archaeological finds dating back to prehistoric times.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e221bbbc819088a7559a46b7d4e7 completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f0e52108190913cc5c667619d89 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:32 a.m.