Triple

T22796989
Position Surface form Disambiguated ID Type / Status
Subject AveXis E564274 entity
Predicate foundedBy P104 FINISHED
Object Sean Nolan
Sean Nolan is a biotechnology executive best known for leading and helping build AveXis, a gene therapy company focused on treatments for rare neurological diseases.
E1555619 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: Sean Nolan | Statement: [AveXis, foundedBy, Sean Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Nolan
Context triple: [AveXis, foundedBy, Sean Nolan]
  • A. Michael Nolan
    Michael Nolan is an individual known primarily in relation to Sarah Nolan as a family member sharing the Nolan surname.
  • B. Joseph Nolan
    Joseph Nolan is the father of British-American novelist and filmmaker Christopher Nolan.
  • C. Brian Nolan
    Brian Nolan is a member of the Nolan family, known in connection with the British-Irish entertainment and music scene through his famous siblings.
  • D. Brian Nolan
    Brian Nolan is an American drummer best known for his work with the rock band American Hi-Fi.
  • E. Brian Nolan
    Brian Nolan, better known by his pen name Flann O'Brien, was an Irish novelist, satirist, and columnist celebrated for his innovative, metafictional works such as "At Swim-Two-Birds" and "The Third Policeman."
  • 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: Sean Nolan
Triple: [AveXis, foundedBy, Sean Nolan]
Generated description
Sean Nolan is a biotechnology executive best known for leading and helping build AveXis, a gene therapy company focused on treatments for rare neurological diseases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sean Nolan
Target entity description: Sean Nolan is a biotechnology executive best known for leading and helping build AveXis, a gene therapy company focused on treatments for rare neurological diseases.
  • A. Michael Nolan
    Michael Nolan is an individual known primarily in relation to Sarah Nolan as a family member sharing the Nolan surname.
  • B. Joseph Nolan
    Joseph Nolan is the father of British-American novelist and filmmaker Christopher Nolan.
  • C. Brian Nolan
    Brian Nolan is a member of the Nolan family, known in connection with the British-Irish entertainment and music scene through his famous siblings.
  • D. Brian Nolan
    Brian Nolan is an American drummer best known for his work with the rock band American Hi-Fi.
  • E. Brian Nolan
    Brian Nolan, better known by his pen name Flann O'Brien, was an Irish novelist, satirist, and columnist celebrated for his innovative, metafictional works such as "At Swim-Two-Birds" and "The Third Policeman."
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd9b3c0819096050f43a829ec0d completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e95a7008190860cf3aac103d07d completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba0f5030c81909efd76deb3e6017d completed May 18, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba1b94c8081909cbd256997af1dca completed May 18, 2026, 11:33 p.m.
Created at: April 17, 2026, 3:30 p.m.