Triple

T19758823
Position Surface form Disambiguated ID Type / Status
Subject George Blanda E474573 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 Blanda, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [George Blanda, 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: [George Blanda, 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531d711c8190996fcf967c39c523 completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4f1000481909efe0d10869596ed completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5e352ac819082cf01c4ba9ed8cb completed May 16, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a07c73b731881909c8abaeb541e34f9 completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:48 p.m.