Triple

T2587911
Position Surface form Disambiguated ID Type / Status
Subject Carlson E58048 entity
Predicate hasNotableBearer P458 FINISHED
Object Mark Carlson
Mark Carlson is a relatively common personal name shared by multiple individuals across various professions, including sports, music, and academia.
E285956 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: Mark Carlson | Statement: [Carlson, hasNotableBearer, Mark Carlson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Carlson
Context triple: [Carlson, hasNotableBearer, Mark Carlson]
  • A. Ben Carlson
    Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
  • B. Chris Carlson
    Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
  • C. Kit Carlson
    Kit Carlson is a game designer best known for creating the popular card game "Citadels."
  • D. Mark Walter
    Mark Walter is an American businessman and investor best known as the controlling owner of the Los Angeles Dodgers and co-founder of the investment firm Guggenheim Partners.
  • E. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • 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: Mark Carlson
Triple: [Carlson, hasNotableBearer, Mark Carlson]
Generated description
Mark Carlson is a relatively common personal name shared by multiple individuals across various professions, including sports, music, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark Carlson
Target entity description: Mark Carlson is a relatively common personal name shared by multiple individuals across various professions, including sports, music, and academia.
  • A. Ben Carlson
    Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
  • B. Chris Carlson
    Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
  • C. Kit Carlson
    Kit Carlson is a game designer best known for creating the popular card game "Citadels."
  • D. Mark Walter
    Mark Walter is an American businessman and investor best known as the controlling owner of the Los Angeles Dodgers and co-founder of the investment firm Guggenheim Partners.
  • E. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f8a3888190889c537e6df07305 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98adae948190a08ffa1eef4cb91a completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af999d0b848190afcd7b27daa024e1 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a48b2588190addeef916b0afef2 completed March 10, 2026, 4:12 a.m.
Created at: March 6, 2026, 9:49 p.m.