Triple

T14203762
Position Surface form Disambiguated ID Type / Status
Subject Henrike E352030 entity
Predicate hasVariant P455 FINISHED
Object Henrica
Henrica is a feminine given name, typically considered a variant of Henrike or related Germanic names derived from Heinrich (Henry).
 E1085518 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: Henrica | Statement: [Henrike, hasVariant, Henrica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henrica
Context triple: [Henrike, hasVariant, Henrica]
  • A. Theodosia
    Theodosia is a feminine given name of Greek origin, historically associated with early Christian martyrs and later borne by notable women in American history.
  • B. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • C. Sidonia
    Sidonia is a brilliant, enigmatic Jewish financier and philosopher in Benjamin Disraeli’s novel "Coningsby, or The New Generation," often seen as a reflection of Disraeli’s views on power, politics, and Jewish identity.
  • D. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • E. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • 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: Henrica
Triple: [Henrike, hasVariant, Henrica]
Generated description
Henrica is a feminine given name, typically considered a variant of Henrike or related Germanic names derived from Heinrich (Henry).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henrica
Target entity description: Henrica is a feminine given name, typically considered a variant of Henrike or related Germanic names derived from Heinrich (Henry).
  • A. Theodosia
    Theodosia is a feminine given name of Greek origin, historically associated with early Christian martyrs and later borne by notable women in American history.
  • B. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • C. Sidonia
    Sidonia is a brilliant, enigmatic Jewish financier and philosopher in Benjamin Disraeli’s novel "Coningsby, or The New Generation," often seen as a reflection of Disraeli’s views on power, politics, and Jewish identity.
  • D. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • E. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f6d4d481909128084e82e6a58a completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ba3ab388190989f7ce32b7eb936 completed May 7, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fd1dc50944819082834db63e6da093 completed May 7, 2026, 11:18 p.m.
Created at: April 10, 2026, 1:05 a.m.