Triple

T14710565
Position Surface form Disambiguated ID Type / Status
Subject Meyer E345534 entity
Predicate hasNotableBearer P458 FINISHED
Object Carl Meyer
Carl Meyer is a relatively common personal name shared by multiple individuals across various professions, including academia, business, and the arts.
 E1122847 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: Carl Meyer | Statement: [Meyer, hasNotableBearer, Carl Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carl Meyer
Context triple: [Meyer, hasNotableBearer, Carl Meyer]
  • A. Paul Mayersberg
    Paul Mayersberg is a British screenwriter and director best known for his work on films such as "The Man Who Fell to Earth" and "Croupier," noted for their stylish, psychologically complex narratives.
  • B. Ray Meyer
    Ray Meyer was a Hall of Fame college basketball coach best known for transforming DePaul University into a national powerhouse during his long tenure.
  • C. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • D. Christian Meyer
    Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
  • E. Paul Weinert
    Paul Weinert was a United States Army soldier and Medal of Honor recipient recognized for his bravery during the Indian Wars.
  • 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: Carl Meyer
Triple: [Meyer, hasNotableBearer, Carl Meyer]
Generated description
Carl Meyer is a relatively common personal name shared by multiple individuals across various professions, including academia, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carl Meyer
Target entity description: Carl Meyer is a relatively common personal name shared by multiple individuals across various professions, including academia, business, and the arts.
  • A. Paul Mayersberg
    Paul Mayersberg is a British screenwriter and director best known for his work on films such as "The Man Who Fell to Earth" and "Croupier," noted for their stylish, psychologically complex narratives.
  • B. Ray Meyer
    Ray Meyer was a Hall of Fame college basketball coach best known for transforming DePaul University into a national powerhouse during his long tenure.
  • C. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • D. Christian Meyer
    Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
  • E. Paul Weinert
    Paul Weinert was a United States Army soldier and Medal of Honor recipient recognized for his bravery during the Indian Wars.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388792688190b1b6eaa8091733fb completed May 8, 2026, 7:24 p.m.
NEDg Description generation batch_69fe51eab88481908db2bca9bf6d60ec completed May 8, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69fe525438f88190aa88e68e1395a20b completed May 8, 2026, 9:15 p.m.
Created at: April 10, 2026, 1:28 a.m.