Triple

T832580
Position Surface form Disambiguated ID Type / Status
Subject Dongjin Seo E17997 entity
Predicate coFounderOf P104 FINISHED
Object Neuralink E3335 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: Neuralink | Statement: [Dongjin Seo, coFounderOf, Neuralink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuralink
Context triple: [Dongjin Seo, coFounderOf, Neuralink]
  • A. Neuralink chosen
    Neuralink is a neurotechnology company developing implantable brain–computer interfaces aimed at enabling direct communication between the human brain and computers.
  • B. Element AI
    Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
  • C. The Boring Company
    The Boring Company is an infrastructure and tunnel construction firm founded by Elon Musk to develop underground transportation systems aimed at reducing urban traffic congestion.
  • D. The Machine
    The Machine is the nickname of Albert Pujols, a Dominican-American former Major League Baseball first baseman renowned for his remarkably consistent and powerful hitting.
  • E. Technium
    Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb647988190950e1790bcfa60a5 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9991488190808adb29d3ad6273 completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.