Triple

T17824370
Position Surface form Disambiguated ID Type / Status
Subject G. Wayne Clough E445074 entity
Predicate givenName P17 FINISHED
Object George
George is the first name of G. Wayne Clough, an American civil engineer and former president of the Georgia Institute of Technology.
E1289353 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: George | Statement: [G. Wayne Clough, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [G. Wayne Clough, givenName, George]
  • A. George
    George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
  • B. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • C. George
    George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
  • D. George
    George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
  • E. George
    George is the given name of Lord George Murray, a prominent Scottish Jacobite general during the 18th-century uprisings.
  • 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: George
Triple: [G. Wayne Clough, givenName, George]
Generated description
George is the first name of G. Wayne Clough, an American civil engineer and former president of the Georgia Institute of Technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is the first name of G. Wayne Clough, an American civil engineer and former president of the Georgia Institute of Technology.
  • A. George
    George is the given name of George Washington Crile, an influential American surgeon and co-founder of the Cleveland Clinic.
  • B. George
    George is the given name of George M. Whitesides, a prominent American chemist known for his influential work in materials science, nanotechnology, and surface chemistry.
  • C. George
    George is the first name of George Rockingham Gilmer, a 19th-century American politician who served as governor of Georgia.
  • D. George
    George is the given first name of G. Ledyard Stebbins, a prominent American botanist and evolutionary biologist.
  • E. George
    George is the given name of George Bellas Greenough, a pioneering 19th-century English geologist and founding figure of the Geological Society of London.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891352ac8190ad3d669fea1c9fbb completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff69f02c81908a7b6b8b564cceec completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03000abe908190a4f4835f348aa544 completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300e885e481909c76dfbac2fd1009 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.