Triple
T18204216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPT-Neo |
E435863
|
entity |
| Predicate | trainingDataDeveloper |
P21227
|
FINISHED |
| Object | EleutherAI |
—
|
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: EleutherAI | Statement: [GPT-Neo, trainingDataDeveloper, EleutherAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EleutherAI Context triple: [GPT-Neo, trainingDataDeveloper, EleutherAI]
-
A.
EleutherAI
chosen
EleutherAI is an open-source research collective focused on developing and releasing large language models and related tools to advance accessible AI research.
-
B.
AI21 Labs
AI21 Labs is an artificial intelligence company specializing in large language models and advanced natural language processing technologies.
-
C.
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.
-
D.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
E.
GPT-J
GPT-J is an open-source, large-scale autoregressive language model developed by EleutherAI as a high-quality alternative to proprietary models like OpenAI's GPT-3.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingDataDeveloper Context triple: [GPT-Neo, trainingDataDeveloper, EleutherAI]
-
A.
trainingDataType
Indicates the type or category of data used for training a model, system, or process.
-
B.
trainingDataIncludes
chosen
Indicates that one entity’s training dataset contains or incorporates the other entity as part of its data.
-
C.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
D.
trainingDataSource
Indicates the origin or provider from which the training data for a model or system is obtained.
-
E.
trainingSupport
Indicates that one entity provides assistance, resources, or facilitation to help another entity conduct or participate in training activities.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.