Triple

T17875422
Position Surface form Disambiguated ID Type / Status
Subject Richard M. Cyert E446939 entity
Predicate familyName P18 FINISHED
Object Cyert
Cyert is a surname most notably associated with Richard M. Cyert, an influential American economist and former president of Carnegie Mellon University.
 E1293326 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: Cyert | Statement: [Richard M. Cyert, familyName, Cyert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cyert
Context triple: [Richard M. Cyert, familyName, Cyert]
  • A. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • B. Wertz
    Wertz is a surname most notably associated with American singer-songwriter Matt Wertz, known for his acoustic pop and folk-influenced music.
  • C. Korgen
    Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
  • D. Merkert
    Merkert is the namesake of the Merkert Chemistry Center, likely a notable figure associated with the field of chemistry or the institution that houses the center.
  • E. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • 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: Cyert
Triple: [Richard M. Cyert, familyName, Cyert]
Generated description
Cyert is a surname most notably associated with Richard M. Cyert, an influential American economist and former president of Carnegie Mellon University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cyert
Target entity description: Cyert is a surname most notably associated with Richard M. Cyert, an influential American economist and former president of Carnegie Mellon University.
  • A. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • B. Wertz
    Wertz is a surname most notably associated with American singer-songwriter Matt Wertz, known for his acoustic pop and folk-influenced music.
  • C. Korgen
    Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
  • D. Merkert
    Merkert is the namesake of the Merkert Chemistry Center, likely a notable figure associated with the field of chemistry or the institution that houses the center.
  • E. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa54d1481908c0af8533edd51c4 completed April 19, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313d1c1e48190a17e3b81c4ee22f3 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031485c3908190a8fe49068d45e910 completed May 12, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a03151de8408190a4c8bc30f5606951 completed May 12, 2026, 11:55 a.m.
Created at: April 10, 2026, 10:18 a.m.