Triple

T988766
Position Surface form Disambiguated ID Type / Status
Subject Queen Victoria E21338 entity
Predicate givenName P17 FINISHED
Object Alexandrina
Alexandrina was the first given name of Queen Victoria, the long-reigning 19th-century British monarch.
 E140338 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: Alexandrina | Statement: [Queen Victoria, givenName, Alexandrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexandrina
Context triple: [Queen Victoria, givenName, Alexandrina]
  • A. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Alexandra
    Alexandra is a densely populated township in northern Johannesburg, South Africa, known for its vibrant culture and significant role in the country’s anti-apartheid history.
  • C. Maria
    Maria is an alternate given name of Letizia Ramolino, the mother of Napoleon Bonaparte and a notable figure in Corsican and French history.
  • D. Maria
    Maria is the birth name of Marie Curie, the pioneering physicist and chemist who conducted groundbreaking research on radioactivity.
  • E. Maria
    Maria is a female given name of Latin origin meaning "beloved" or "wished-for child," widely used across many cultures and languages.
  • 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: Alexandrina
Triple: [Queen Victoria, givenName, Alexandrina]
Generated description
Alexandrina was the first given name of Queen Victoria, the long-reigning 19th-century British monarch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexandrina
Target entity description: Alexandrina was the first given name of Queen Victoria, the long-reigning 19th-century British monarch.
  • A. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Alexandra
    Alexandra is a densely populated township in northern Johannesburg, South Africa, known for its vibrant culture and significant role in the country’s anti-apartheid history.
  • C. Maria
    Maria is an alternate given name of Letizia Ramolino, the mother of Napoleon Bonaparte and a notable figure in Corsican and French history.
  • D. Maria
    Maria is the birth name of Marie Curie, the pioneering physicist and chemist who conducted groundbreaking research on radioactivity.
  • E. Maria
    Maria is a female given name of Latin origin meaning "beloved" or "wished-for child," widely used across many cultures and languages.
  • F. None of above. chosen

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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4aa16f081909dcc7a7ce3fb1b64 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89f9d7688190836459b2453e5e2b completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8ac4e1648190b0b5b77eb617b3df completed March 7, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b215458819080447a79e55e8ef0 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:41 p.m.