Triple

T921601
Position Surface form Disambiguated ID Type / Status
Subject Meta AI E19895 entity
Predicate offers P178 FINISHED
Object Meta AI assistant E107997 NE FINISHED

How this triple was built (2 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: Meta AI assistant | Statement: [Meta AI, offers, Meta AI assistant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meta AI assistant
Context triple: [Meta AI, offers, Meta AI assistant]
  • A. Meta AI assistant chosen
    Meta AI assistant is an artificial intelligence–powered virtual assistant created by Meta to help users with tasks like answering questions, generating content, and interacting across Meta’s platforms.
  • B. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • C. ChatGPT
    ChatGPT is an advanced conversational AI model developed by OpenAI that can understand and generate human-like text across a wide range of topics and tasks.
  • D. OpenAI Chat Completions API
    The OpenAI Chat Completions API is a cloud-based interface that lets developers integrate advanced conversational AI models into their applications for tasks like dialogue, assistance, and content generation.
  • E. BARD Mobile app
    The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b313cb908190ad78b3a54e4f2eb7 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee094c94819093578c949db7ded9 completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:40 p.m.