Triple

T1468822
Position Surface form Disambiguated ID Type / Status
Subject Chad Mirkin E27085 entity
Predicate founded P104 FINISHED
Object Exicure, Inc.
Exicure, Inc. is a biotechnology company specializing in nucleic acid therapeutics based on spherical nucleic acid (SNA) technology.
 E166837 NE FINISHED

How this triple was built (4 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: Exicure, Inc. | Statement: [Chad Mirkin, founded, Exicure, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Exicure, Inc.
Context triple: [Chad Mirkin, founded, Exicure, Inc.]
  • A. Zyvex
    Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
  • B. Flying J Inc.
    Flying J Inc. was a major American truck stop and travel center chain that later became part of the Pilot Flying J network.
  • C. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • E. ITG Brands
    ITG Brands is a major U.S. tobacco company known for manufacturing and marketing a portfolio of cigarette and cigar brands that compete with other leading tobacco firms.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Exicure, Inc.
Triple: [Chad Mirkin, founded, Exicure, Inc.]
Generated description
Exicure, Inc. is a biotechnology company specializing in nucleic acid therapeutics based on spherical nucleic acid (SNA) technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Exicure, Inc.
Target entity description: Exicure, Inc. is a biotechnology company specializing in nucleic acid therapeutics based on spherical nucleic acid (SNA) technology.
  • A. Zyvex
    Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
  • B. Flying J Inc.
    Flying J Inc. was a major American truck stop and travel center chain that later became part of the Pilot Flying J network.
  • C. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • E. ITG Brands
    ITG Brands is a major U.S. tobacco company known for manufacturing and marketing a portfolio of cigarette and cigar brands that compete with other leading tobacco firms.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d8bb68819095b7b413247ad657 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e805fa481908d6428a4e2fb4c4a completed March 8, 2026, 5:52 a.m.
NEDg Description generation batch_69ad0f0b145c8190b08af9a6a3325c23 completed March 8, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad0f9380648190b4db1b9c92f37831 completed March 8, 2026, 5:56 a.m.
Created at: March 1, 2026, 8:01 p.m.