Triple

T779370
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Hornets E16461 entity
Predicate owner P347 FINISHED
Object Gabe Plotkin
Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
 E136967 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: Gabe Plotkin | Statement: [Charlotte Hornets, owner, Gabe Plotkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gabe Plotkin
Context triple: [Charlotte Hornets, owner, Gabe Plotkin]
  • A. Joshua Michael Stern
    Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
  • B. Matthew Freund
    Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
  • C. Zev Siegl
    Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
  • D. Chad Mirkin
    Chad Mirkin is an American chemist and nanotechnology pioneer known for inventing dip-pen nanolithography and developing spherical nucleic acids for biomedical applications.
  • E. Vincent Gaddis
    Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
  • 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: Gabe Plotkin
Triple: [Charlotte Hornets, owner, Gabe Plotkin]
Generated description
Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gabe Plotkin
Target entity description: Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
  • A. Joshua Michael Stern
    Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
  • B. Matthew Freund
    Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
  • C. Zev Siegl
    Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
  • D. Chad Mirkin
    Chad Mirkin is an American chemist and nanotechnology pioneer known for inventing dip-pen nanolithography and developing spherical nucleic acids for biomedical applications.
  • E. Vincent Gaddis
    Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac762a53b48190a4d98b0416b4697c completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac781ccf088190a32e313fbdec711f completed March 7, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac78b7eb4081908167456f8e461bcb completed March 7, 2026, 7:12 p.m.
Created at: March 1, 2026, 7:37 p.m.