Triple

T21311295
Position Surface form Disambiguated ID Type / Status
Subject George I, Duke of Saxe-Meiningen E525340 entity
Predicate givenName P17 FINISHED
Object George
George was the given name of George I, Duke of Saxe-Meiningen, a 19th-century German nobleman who ruled the small Thuringian duchy of Saxe-Meiningen.
E1478601 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 I, Duke of Saxe-Meiningen, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George I, Duke of Saxe-Meiningen, 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 I, Duke of Saxe-Meiningen, givenName, George]
Generated description
George was the given name of George I, Duke of Saxe-Meiningen, a 19th-century German nobleman who ruled the small Thuringian duchy of Saxe-Meiningen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George was the given name of George I, Duke of Saxe-Meiningen, a 19th-century German nobleman who ruled the small Thuringian duchy of Saxe-Meiningen.
  • A. George
    George was the given name of George II, Landgrave of Hesse-Darmstadt, an 18th-century German nobleman and ruler within the Holy Roman Empire.
  • B. George
    George is the given name of George V of Hanover, a 19th-century King of Hanover from the House of Hanover.
  • C. George
    George is the given name of George Spencer, 4th Duke of Marlborough, an 18th-century British nobleman and politician.
  • D. George
    George is the given name of George Spencer-Churchill, 6th Duke of Marlborough, a British aristocrat and politician of the 19th century.
  • E. George
    George is the given name of George Murray, 6th Duke of Atholl, a Scottish peer and nobleman of the 19th century.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dc926c881909d70a317070ef295 completed April 21, 2026, 11:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5b401808190aa186d4ff5283b09 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a653f0108190ac0881f63865222e completed May 17, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6e82b3881908bb85f0d7fe3d6d9 completed May 17, 2026, 11:30 a.m.
Created at: April 16, 2026, 4:17 p.m.