Triple

T2587910
Position Surface form Disambiguated ID Type / Status
Subject Carlson E58048 entity
Predicate hasNotableBearer P458 FINISHED
Object Eric Carlson
Eric Carlson is a notable individual whose name is shared with multiple public figures, including professionals in fields such as architecture and music.
 E331845 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: Eric Carlson | Statement: [Carlson, hasNotableBearer, Eric Carlson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric Carlson
Context triple: [Carlson, hasNotableBearer, Eric Carlson]
  • A. Chris Carlson
    Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
  • B. Ben Carlson
    Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
  • C. Ron Carlson
    Ron Carlson is an American author and educator known for his acclaimed short stories and novels that often explore everyday lives with humor and emotional depth.
  • D. Kit Carlson
    Kit Carlson is a game designer best known for creating the popular card game "Citadels."
  • E. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • 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: Eric Carlson
Triple: [Carlson, hasNotableBearer, Eric Carlson]
Generated description
Eric Carlson is a notable individual whose name is shared with multiple public figures, including professionals in fields such as architecture and music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric Carlson
Target entity description: Eric Carlson is a notable individual whose name is shared with multiple public figures, including professionals in fields such as architecture and music.
  • A. Chris Carlson
    Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
  • B. Ben Carlson
    Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
  • C. Ron Carlson
    Ron Carlson is an American author and educator known for his acclaimed short stories and novels that often explore everyday lives with humor and emotional depth.
  • D. Kit Carlson
    Kit Carlson is a game designer best known for creating the popular card game "Citadels."
  • E. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • 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_69b22496fda88190ba70356cc6835dcb completed March 12, 2026, 2:27 a.m.
NEDg Description generation batch_69b22598f9e48190a3d63a3416c95bd9 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225f0e0b0819096f8b5f7e7ddd8c3 completed March 12, 2026, 2:33 a.m.
Created at: March 6, 2026, 9:49 p.m.