Triple

T13829047
Position Surface form Disambiguated ID Type / Status
Subject Vernon E332334 entity
Predicate hasNotableBearer P458 FINISHED
Object Raymond Vernon
Raymond Vernon was an American economist best known for developing the product life-cycle theory of international trade and for his influential work on multinational corporations and foreign investment.
 E1064558 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: Raymond Vernon | Statement: [Vernon, hasNotableBearer, Raymond Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raymond Vernon
Context triple: [Vernon, hasNotableBearer, Raymond Vernon]
  • A. Raymond Smith
    Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
  • B. Raymond Smith
    Raymond Smith is a character known for being linked to the medical condition of dry eye.
  • C. Raymond Fry
    Raymond Fry is a person notable enough to be recognized as a bearer of the surname Fry.
  • D. Raymond Hughes
    Raymond Hughes is a costume designer best known for his work on the 1985 fantasy film "Return to Oz."
  • E. Raymond Walburn
    Raymond Walburn was an American character actor known for his comedic and often pompous roles in Hollywood films of the 1930s and 1940s.
  • 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: Raymond Vernon
Triple: [Vernon, hasNotableBearer, Raymond Vernon]
Generated description
Raymond Vernon was an American economist best known for developing the product life-cycle theory of international trade and for his influential work on multinational corporations and foreign investment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raymond Vernon
Target entity description: Raymond Vernon was an American economist best known for developing the product life-cycle theory of international trade and for his influential work on multinational corporations and foreign investment.
  • A. Raymond Smith
    Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
  • B. Raymond Smith
    Raymond Smith is a character known for being linked to the medical condition of dry eye.
  • C. Raymond Fry
    Raymond Fry is a person notable enough to be recognized as a bearer of the surname Fry.
  • D. Raymond Hughes
    Raymond Hughes is a costume designer best known for his work on the 1985 fantasy film "Return to Oz."
  • E. Raymond Walburn
    Raymond Walburn was an American character actor known for his comedic and often pompous roles in Hollywood films of the 1930s and 1940s.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba6558fc819082dae55863a9a3b1 completed May 3, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7bb15d31c81909959e50219c4d905 completed May 3, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:13 p.m.