Triple

T3520111
Position Surface form Disambiguated ID Type / Status
Subject Allen Institute for Artificial Intelligence E74400 entity
Predicate hasResearchProgram P3 FINISHED
Object AllenNLP research
AllenNLP research is a natural language processing research program focused on developing state-of-the-art models, tools, and methodologies for understanding and generating human language.
E366089 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: AllenNLP research | Statement: [Allen Institute for Artificial Intelligence, hasResearchProgram, AllenNLP research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AllenNLP research
Context triple: [Allen Institute for Artificial Intelligence, hasResearchProgram, AllenNLP research]
  • A. Exploring the Limits of Language Modeling
    "Exploring the Limits of Language Modeling" is a research paper that investigates how far large-scale neural language models can be pushed in terms of performance, scalability, and generalization on natural language tasks.
  • B. Distributed Representations of Sentences and Documents
    "Distributed Representations of Sentences and Documents" is a seminal machine learning paper that introduced the Paragraph Vector (Doc2Vec) method for learning continuous vector representations of variable-length text such as sentences, paragraphs, and documents.
  • C. Allen Institute for Artificial Intelligence
    The Allen Institute for Artificial Intelligence is a research organization founded by Paul Allen that focuses on advancing artificial intelligence through high-impact scientific and engineering efforts, including open research, tools, and datasets.
  • D. Hugging Face Transformers
    Hugging Face Transformers is a widely used open-source library that provides state-of-the-art transformer-based models and tools for natural language processing and related machine learning tasks.
  • E. LLM
    LLM is the ICAO airline designator assigned to Yamal Airlines, a Russian regional carrier.
  • 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: AllenNLP research
Triple: [Allen Institute for Artificial Intelligence, hasResearchProgram, AllenNLP research]
Generated description
AllenNLP research is a natural language processing research program focused on developing state-of-the-art models, tools, and methodologies for understanding and generating human language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AllenNLP research
Target entity description: AllenNLP research is a natural language processing research program focused on developing state-of-the-art models, tools, and methodologies for understanding and generating human language.
  • A. Exploring the Limits of Language Modeling
    "Exploring the Limits of Language Modeling" is a research paper that investigates how far large-scale neural language models can be pushed in terms of performance, scalability, and generalization on natural language tasks.
  • B. Distributed Representations of Sentences and Documents
    "Distributed Representations of Sentences and Documents" is a seminal machine learning paper that introduced the Paragraph Vector (Doc2Vec) method for learning continuous vector representations of variable-length text such as sentences, paragraphs, and documents.
  • C. Allen Institute for Artificial Intelligence
    The Allen Institute for Artificial Intelligence is a research organization founded by Paul Allen that focuses on advancing artificial intelligence through high-impact scientific and engineering efforts, including open research, tools, and datasets.
  • D. Hugging Face Transformers
    Hugging Face Transformers is a widely used open-source library that provides state-of-the-art transformer-based models and tools for natural language processing and related machine learning tasks.
  • E. LLM
    LLM is the ICAO airline designator assigned to Yamal Airlines, a Russian regional carrier.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4af70c8190a7471f28e1efd7fd completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e848d1c8190b100cb2e1218afbb completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f07ab70819089fdb7083b81b992 completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b38078bc288190b69d73a64acce8ca completed March 13, 2026, 3:11 a.m.
Created at: March 8, 2026, 3:19 p.m.