Triple

T6180631
Position Surface form Disambiguated ID Type / Status
Subject George Axelrod E137932 entity
Predicate givenName P17 FINISHED
Object George
George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in many English-speaking and European countries.
E372348 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 Axelrod, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George Axelrod, givenName, George]
  • A. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • B. George
    George is the given name of George Brydges Rodney, an 18th-century British naval officer and admiral noted for his victories during the American Revolutionary War.
  • C. George
    George is the given name of George Armstrong Custer, the controversial U.S. Army officer and cavalry commander best known for his defeat and death at the Battle of the Little Bighorn.
  • D. George
    George is the given name of George Monck, a 17th-century English soldier and statesman instrumental in the Restoration of the monarchy under Charles II.
  • E. George
    George is the given name of George Monck, 1st Duke of Albemarle, a key English soldier and statesman who helped restore Charles II to the throne in 1660.
  • 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 Axelrod, givenName, George]
Generated description
George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in many English-speaking and European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in many English-speaking and European countries.
  • A. George chosen
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking countries and beyond.
  • B. George
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking and many other cultures.
  • C. George
    George is a common masculine given name of Greek origin, meaning "farmer" or "earthworker."
  • D. George
    George is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
  • E. George
    George is a male given name commonly used in English-speaking countries and borne by numerous historical figures, including kings, presidents, and cultural icons.
  • F. None of above.

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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fdf7ac8190a0e887907ec9a922 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418ba6488190aaf8d3070555d60a completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c147fd4e988190a21c17f96830dfb4 completed March 23, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69c1486382a8819098cee911eb1b7137 completed March 23, 2026, 2:04 p.m.
Created at: March 22, 2026, 4:18 p.m.