Triple

T6860132
Position Surface form Disambiguated ID Type / Status
Subject Nido R. Qubein E158253 entity
Predicate givenName P17 FINISHED
Object Nido
Nido is the given name of Nido R. Qubein, a business leader, motivational speaker, and president of High Point University.
E624569 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: Nido | Statement: [Nido R. Qubein, givenName, Nido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nido
Context triple: [Nido R. Qubein, givenName, Nido]
  • A. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • B. Lapus Lapus
    Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
  • C. Nursino
    Nursino is the Italian demonym for a person originating from the town of Nursia (Norcia) in Umbria, Italy.
  • D. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • E. Pioppi
    Pioppi is a small coastal village in southern Italy’s Cilento region, known for its traditional Mediterranean lifestyle and as a key site in the study of the Mediterranean diet.
  • 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: Nido
Triple: [Nido R. Qubein, givenName, Nido]
Generated description
Nido is the given name of Nido R. Qubein, a business leader, motivational speaker, and president of High Point University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nido
Target entity description: Nido is the given name of Nido R. Qubein, a business leader, motivational speaker, and president of High Point University.
  • A. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • B. Lapus Lapus
    Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
  • C. Nursino
    Nursino is the Italian demonym for a person originating from the town of Nursia (Norcia) in Umbria, Italy.
  • D. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • E. Pioppi
    Pioppi is a small coastal village in southern Italy’s Cilento region, known for its traditional Mediterranean lifestyle and as a key site in the study of the Mediterranean diet.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8737fac81909fc546ca2bf6a278 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe79af081909baacbfd4d5e8f24 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c7399b95e081908bbee3a598d6513c completed March 28, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c739f1b20c8190a8ef57357d4956b4 completed March 28, 2026, 2:16 a.m.
Created at: March 27, 2026, 2:21 p.m.