Triple

T12589436
Position Surface form Disambiguated ID Type / Status
Subject George Inness E300561 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of the American landscape painter George Inness, a leading figure of the Hudson River School and Tonalist movements.
 E996137 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: [George Inness, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [George Inness, 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: [George Inness, givenName, George]
Generated description
George is the given name of the American landscape painter George Inness, a leading figure of the Hudson River School and Tonalist movements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of the American landscape painter George Inness, a leading figure of the Hudson River School and Tonalist movements.
  • A. George
    George is the given name of the 19th-century American realist painter George Caleb Bingham, known for his depictions of frontier life along the Missouri River.
  • B. George
    George is the given name of George Ellery Hale, the influential American solar astronomer and founder of several major observatories.
  • C. 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.
  • D. George
    George is the given name of George Washington Vanderbilt II, the American art collector and member of the prominent Vanderbilt family who built the Biltmore Estate.
  • E. George
    George is the given first name of G. Ledyard Stebbins, a prominent American botanist and evolutionary biologist.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66861c7d8819090f09d4a131da402 completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f66a8d4684819093095a1c9674a099 completed May 2, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69f66bd0073881909227dfff84d8b856 completed May 2, 2026, 9:25 p.m.
Created at: April 9, 2026, 5:06 p.m.