Triple

T18204671
Position Surface form Disambiguated ID Type / Status
Subject LLaMA E435872 entity
Predicate hasSuccessor P78 FINISHED
Object LLaMA 2
LLaMA 2 is an open-source family of large language models developed by Meta, designed to provide improved performance, safety, and accessibility over the original LLaMA models.
 E435872 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: LLaMA 2 | Statement: [LLaMA, hasSuccessor, LLaMA 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LLaMA 2
Context triple: [LLaMA, hasSuccessor, LLaMA 2]
  • A. LLaMA
    LLaMA is a family of large language models developed by Meta AI, designed for efficient training and inference across a range of natural language processing tasks.
  • B. PaLM 2
    PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
  • C. GPT-NeoX-20B
    GPT-NeoX-20B is a 20-billion-parameter open-source large language model developed by EleutherAI as a powerful successor to the GPT-Neo family for advanced text generation and research.
  • D. Megatron-LM
    Megatron-LM is a large-scale language model training framework developed by NVIDIA, designed to efficiently train massive transformer models through model, tensor, and pipeline parallelism.
  • E. GPT-Neo
    GPT-Neo is an open-source family of autoregressive language models developed by EleutherAI as a free alternative to OpenAI’s GPT-3.
  • 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: LLaMA 2
Triple: [LLaMA, hasSuccessor, LLaMA 2]
Generated description
LLaMA 2 is an open-source family of large language models developed by Meta, designed to provide improved performance, safety, and accessibility over the original LLaMA models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LLaMA 2
Target entity description: LLaMA 2 is an open-source family of large language models developed by Meta, designed to provide improved performance, safety, and accessibility over the original LLaMA models.
  • A. LLaMA chosen
    LLaMA is a family of large language models developed by Meta AI, designed for efficient training and inference across a range of natural language processing tasks.
  • B. PaLM 2
    PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
  • C. GPT-NeoX-20B
    GPT-NeoX-20B is a 20-billion-parameter open-source large language model developed by EleutherAI as a powerful successor to the GPT-Neo family for advanced text generation and research.
  • D. Megatron-LM
    Megatron-LM is a large-scale language model training framework developed by NVIDIA, designed to efficiently train massive transformer models through model, tensor, and pipeline parallelism.
  • E. GPT-Neo
    GPT-Neo is an open-source family of autoregressive language models developed by EleutherAI as a free alternative to OpenAI’s GPT-3.
  • F. None of above.

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_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3e663b081908eeb0905454e72f5 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b48273c88190a95332f1ecce7fb7 completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b5470d408190ae676062f2855508 completed May 12, 2026, 11:18 p.m.
Created at: April 10, 2026, 10:32 a.m.