Triple

T1793024
Position Surface form Disambiguated ID Type / Status
Subject Mustafa Suleyman E39540 entity
Predicate employer P7 FINISHED
Object Inflection AI E200543 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: Inflection AI | Statement: [Mustafa Suleyman, employer, Inflection AI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inflection AI
Context triple: [Mustafa Suleyman, employer, Inflection AI]
  • A. Inflection AI chosen
    Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
  • B. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • C. 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.
  • D. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • E. 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.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653b02448190bc475bc22187f5b0 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf54330c81908046b519a0297760 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.