Triple

T22307275
Position Surface form Disambiguated ID Type / Status
Subject Princess Juliane of Saxe-Coburg-Saalfeld E551412 entity
Predicate givenName P17 FINISHED
Object Anna
Anna is a given name borne by Princess Juliane of Saxe-Coburg-Saalfeld, a German noblewoman from the influential House of Saxe-Coburg-Saalfeld.
E1531712 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: Anna | Statement: [Princess Juliane of Saxe-Coburg-Saalfeld, givenName, Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna
Context triple: [Princess Juliane of Saxe-Coburg-Saalfeld, givenName, Anna]
  • A. Anna
    Anna is the given name of pioneering Chinese American actress Anna May Wong, a trailblazing early Hollywood star and fashion icon.
  • B. Anna
    Anna is a spirited and optimistic princess from Disney's animated film "Frozen," known for her bravery, loyalty, and deep love for her sister Elsa.
  • C. Anna
    Anna is a biblical figure in the Book of Tobit, known as Tobit's wife and the mother of Tobias.
  • D. Anna
    Anna is a woman whose full name is Mrs. Anna Smith.
  • E. Anna
    Anna was a Byzantine imperial princess, known as the daughter of Empress Theodora.
  • 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: Anna
Triple: [Princess Juliane of Saxe-Coburg-Saalfeld, givenName, Anna]
Generated description
Anna is a given name borne by Princess Juliane of Saxe-Coburg-Saalfeld, a German noblewoman from the influential House of Saxe-Coburg-Saalfeld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna
Target entity description: Anna is a given name borne by Princess Juliane of Saxe-Coburg-Saalfeld, a German noblewoman from the influential House of Saxe-Coburg-Saalfeld.
  • A. Anna
    Anna was a German princess of the House of Saxe-Weimar-Eisenach, a minor royal family within the historical patchwork of German states.
  • B. Anna
    Anna is the given name of Archduchess Anna Maria Sophia of Austria, a member of the Habsburg royal family.
  • C. Anna
    Anna was a medieval Rus' princess from Novgorod, known as the daughter of Mstislav I of Kiev and a member of the Rurikid dynasty.
  • D. Anna
    Anna is the given name of Anna Laetitia Barbauld, an influential 18th–19th century English poet, essayist, and children's author.
  • E. Anna
    Anna was a Byzantine imperial princess, known as the daughter of Empress Theodora.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574bccb08190a6236dd14cf0fc5b completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad514e4188190912e478a11ea6763 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad991a1e48190ad240a20694223fc completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada2a61b881908a636b2d1d6e4509 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:41 p.m.