Triple

T17924908
Position Surface form Disambiguated ID Type / Status
Subject George William Ross E448167 entity
Predicate monarchDuringTerm P372 FINISHED
Object Victoria
Victoria was the long-reigning 19th-century British monarch whose era saw vast industrial, cultural, and imperial expansion across the United Kingdom and its territories.
E597626 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: Victoria | Statement: [George William Ross, monarchDuringTerm, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria
Context triple: [George William Ross, monarchDuringTerm, Victoria]
  • A. Victoria
    Victoria was the Spanish carrack that became the first ship to successfully circumnavigate the globe during Ferdinand Magellan’s expedition.
  • B. Victoria
    Victoria is a central London district known for its major transport hub, theatres, offices, and proximity to landmarks like Buckingham Palace.
  • C. Victoria
    Victoria is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and agricultural economy.
  • D. Victoria
    Victoria was a German princess of Saxe-Coburg-Saalfeld best known as the mother of Queen Victoria of the United Kingdom.
  • E. Victoria
    Victoria is the birth name of American singer-songwriter Tori Kelly, known for her powerful vocals and blend of pop, R&B, and gospel influences.
  • 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: Victoria
Triple: [George William Ross, monarchDuringTerm, Victoria]
Generated description
Victoria was the long-reigning 19th-century British monarch whose era saw vast industrial, cultural, and imperial expansion across the United Kingdom and its territories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria
Target entity description: Victoria was the long-reigning 19th-century British monarch whose era saw vast industrial, cultural, and imperial expansion across the United Kingdom and its territories.
  • A. Victoria chosen
    Victoria was the long-reigning 19th-century British queen whose era saw vast industrial, cultural, and imperial expansion.
  • B. Victoria
    Victoria is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
  • C. Victoria
    Victoria was a German princess of Saxe-Coburg-Saalfeld best known as the mother of Queen Victoria of the United Kingdom.
  • D. Victoria
    Victoria was the eldest child of Queen Victoria and Prince Albert, who became German Empress and Queen of Prussia through her marriage to Frederick III.
  • E. Victoria
    Victoria is a central London district known for its major transport hub, theatres, offices, and proximity to landmarks like Buckingham Palace.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03290f30a88190814f4045eb31e639 completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032b4780b881909f6f8038efe726ec completed May 12, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a032c8f29848190bd3e2a8d55b558a9 completed May 12, 2026, 1:35 p.m.
Created at: April 10, 2026, 10:20 a.m.