Triple

T224972
Position Surface form Disambiguated ID Type / Status
Subject Dean Kamen E4294 entity
Predicate givenName P17 FINISHED
Object Dean
Dean is a masculine given name of English origin commonly used in many English-speaking countries.
 E28621 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: Dean | Statement: [Dean Kamen, givenName, Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dean
Context triple: [Dean Kamen, givenName, Dean]
  • A. Dean of Yale College
    The Dean of Yale College is the chief academic and administrative officer for Yale’s undergraduate program, overseeing student life, curriculum, and the residential college system.
  • B. Mark D. Bailey
    Mark D. Bailey is an American diplomat who has served as the United States Ambassador to Hungary.
  • C. James B. Conant
    James B. Conant was an American chemist, educator, and diplomat who served as president of Harvard University and played a major role in U.S. scientific and military policy during World War II.
  • D. Dr. Newton Geiszler
    Dr. Newton Geiszler is an eccentric and brilliant kaiju-obsessed scientist who plays a key role in understanding and combating the monstrous threats in the Pacific Rim universe.
  • E. Ed Bastian
    Ed Bastian is an American business executive best known for leading Delta Air Lines as its chief executive officer, overseeing the airline’s growth and operational strategy.
  • 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: Dean
Triple: [Dean Kamen, givenName, Dean]
Generated description
Dean is a masculine given name of English origin commonly used in many English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dean
Target entity description: Dean is a masculine given name of English origin commonly used in many English-speaking countries.
  • A. Dean of Yale College
    The Dean of Yale College is the chief academic and administrative officer for Yale’s undergraduate program, overseeing student life, curriculum, and the residential college system.
  • B. Mark D. Bailey
    Mark D. Bailey is an American diplomat who has served as the United States Ambassador to Hungary.
  • C. James B. Conant
    James B. Conant was an American chemist, educator, and diplomat who served as president of Harvard University and played a major role in U.S. scientific and military policy during World War II.
  • D. Dr. Newton Geiszler
    Dr. Newton Geiszler is an eccentric and brilliant kaiju-obsessed scientist who plays a key role in understanding and combating the monstrous threats in the Pacific Rim universe.
  • E. Ed Bastian
    Ed Bastian is an American business executive best known for leading Delta Air Lines as its chief executive officer, overseeing the airline’s growth and operational strategy.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c8c0b8881908016161568c0cbfb completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35277532c8190ab2815c63a564e33 completed Feb. 28, 2026, 8:39 p.m.
NEDg Description generation batch_69a3547eeef88190923f3d7b46e11d7e completed Feb. 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69a354f267ac8190ace99e80f7c24d45 completed Feb. 28, 2026, 8:49 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.