Triple

T14934464
Position Surface form Disambiguated ID Type / Status
Subject George E372352 entity
Predicate derivedFrom P909 FINISHED
Object Georgius
Georgius is the Latinized form of the given name George, historically used in scholarly, religious, and formal contexts.
 E56084 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: Georgius | Statement: [George, derivedFrom, Georgius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georgius
Context triple: [George, derivedFrom, Georgius]
  • A. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • B. Gregory
    Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
  • C. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • D. Gibbon
    Gibbon is a common English surname most famously borne by Edward Gibbon, the 18th-century historian known for writing "The History of the Decline and Fall of the Roman Empire."
  • E. George of Bytom
    George of Bytom was a medieval Silesian duke from the Piast dynasty who ruled part of the Bytom region.
  • 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: Georgius
Triple: [George, derivedFrom, Georgius]
Generated description
Georgius is the Latinized form of the given name George, historically used in scholarly, religious, and formal contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georgius
Target entity description: Georgius is the Latinized form of the given name George, historically used in scholarly, religious, and formal contexts.
  • A. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • B. Gregory
    Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
  • C. Georg chosen
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • D. Gibbon
    Gibbon is a common English surname most famously borne by Edward Gibbon, the 18th-century historian known for writing "The History of the Decline and Fall of the Roman Empire."
  • E. George of Bytom
    George of Bytom was a medieval Silesian duke from the Piast dynasty who ruled part of the Bytom region.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7ff5c84c8190b3e97f09633bf181 completed May 9, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 10, 2026, 2:37 a.m.