Triple

T146337
Position Surface form Disambiguated ID Type / Status
Subject OpenAI E3337 entity
Predicate introducedModelFamily P5439 FINISHED
Object Generative Pre-trained Transformer E18339 NE FINISHED

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: Generative Pre-trained Transformer | Statement: [OpenAI, introducedModelFamily, Generative Pre-trained Transformer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Generative Pre-trained Transformer
Context triple: [OpenAI, introducedModelFamily, Generative Pre-trained Transformer]
  • A. GPT-2 chosen
    GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
  • B. DALL·E
    DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
  • C. GPT-3.5
    GPT-3.5 is a large language model that generates human-like text and powers conversational AI applications such as advanced chatbots and coding assistants.
  • D. OpenAI
    OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
  • E. Claude
    Claude is a given name most famously associated with Claude Shannon, the American mathematician and electrical engineer known as the father of information theory.
  • 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: introducedModelFamily
Context triple: [OpenAI, introducedModelFamily, Generative Pre-trained Transformer]
  • A. introducedFor
    Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
  • B. introducedInYear
    Indicates the year in which something was first introduced, launched, or made available.
  • C. currentSeriesIntroduced
    Indicates that an entity was first introduced or appeared in the currently ongoing series or installment of a work.
  • D. introducedAfter
    Indicates that one entity was introduced at a later time or stage than another entity.
  • E. modelYears
    Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257eba6188190a3cf99c91bf3038f completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce36ad848190baf0359475fc0c3e completed Feb. 28, 2026, 11:15 a.m.
PD Predicate disambiguation batch_69a25656a4fc81908a87678ac3d28f93 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a257101060819094db0f3a3a72f312 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.