Triple

T23255753
Position Surface form Disambiguated ID Type / Status
Subject Ernest George E581864 entity
Predicate familyName P18 FINISHED
Object George
George is a common English surname borne by numerous notable figures across politics, arts, and sciences.
 E561012 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: [Ernest George, familyName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [Ernest George, familyName, George]
  • A. George
    George is the given name of George Black, a New Zealand politician.
  • B. George
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking countries and beyond.
  • C. 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.
  • D. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • E. George
    George is the given name of George Rogers Clark Todd, a 19th-century American physician and Confederate surgeon during the Civil War.
  • 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: [Ernest George, familyName, George]
Generated description
George is a common English surname borne by numerous notable figures across politics, arts, and sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is a common English surname borne by numerous notable figures across politics, arts, and sciences.
  • A. George chosen
    George is a common English surname of likely Greek and Latin origin, associated with numerous notable 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 masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
  • D. George
    George is the given name of George Clinton, a British politician.
  • E. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f4652c48190aa90bf5ed5f5fd0f completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4161607881909644f9891472766b completed May 19, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0c41d690a88190b794bacd1d23a823 completed May 19, 2026, 10:56 a.m.
Created at: April 17, 2026, 4:11 p.m.