Triple

T19811691
Position Surface form Disambiguated ID Type / Status
Subject Albert Frederick Arthur George E475961 entity
Predicate givenName P17 FINISHED
Object George
George is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical figures, including British kings.
 E372347 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: [Albert Frederick Arthur George, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [Albert Frederick Arthur George, givenName, George]
  • A. George
    George is the given name of George Habash, the Palestinian Christian physician and founder of the Popular Front for the Liberation of Palestine.
  • B. George
    George is the given first name of the American gangster Bugs Moran, a prominent Prohibition-era mobster in Chicago.
  • C. George
    George is the given name of the British historian George Macaulay Trevelyan, known for his influential works on English and Italian history.
  • D. George
    George is the given name of George North, 3rd Earl of Guilford, a British peer from the late 18th and early 19th centuries.
  • E. George
    George is the given name of George Winslow, an American child actor known for his distinctive raspy voice in 1950s films.
  • 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: [Albert Frederick Arthur George, givenName, George]
Generated description
George is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical figures, including British kings.
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, commonly used in English-speaking countries and borne by numerous historical figures, including British kings.
  • A. George chosen
    George is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
  • B. 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.
  • C. George
    George is a common English surname of likely Greek and Latin origin, associated with numerous notable historical and contemporary figures.
  • D. George
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking countries and beyond.
  • E. George
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking and many other cultures.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542c9c5c81908772e88caa067e63 completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d42ffe7c8190b04c2ad6ea82438a completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d4e943b081909f98c72683d62e62 completed May 16, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07d5bc8e748190a4f97e6b23e56edd completed May 16, 2026, 2:26 a.m.
Created at: April 10, 2026, 1:50 p.m.