Triple

T15825184
Position Surface form Disambiguated ID Type / Status
Subject G. H. Darwin E383721 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of G. H. Darwin, a British mathematician and astronomer known for his work on tidal forces and celestial mechanics.
 E1180705 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. H. Darwin, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [G. H. Darwin, 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. H. Darwin, givenName, George]
Generated description
George is the given name of G. H. Darwin, a British mathematician and astronomer known for his work on tidal forces and celestial mechanics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of G. H. Darwin, a British mathematician and astronomer known for his work on tidal forces and celestial mechanics.
  • A. 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.
  • B. George
    George is the given name of the British historian George Macaulay Trevelyan, known for his influential works on English and Italian history.
  • C. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • D. George
    George is the given name of the British philosopher and historian R. G. Collingwood, known for his work in aesthetics, history, and the philosophy of history.
  • E. George
    George is the given name of George Ellery Hale, the influential American solar astronomer and founder of several major observatories.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e602e5481908baa71c3d9b2008f completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa135be84819084f7c20c2bc01b47 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa5623dd08190b7332d3aa4e90c18 completed May 9, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5c23e6481908c9c1d1ca5253be4 completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:49 a.m.