Triple

T21370780
Position Surface form Disambiguated ID Type / Status
Subject Anna Amalia of Brunswick-Wolfenbüttel E527054 entity
Predicate givenName P17 FINISHED
Object Anna
Anna is a feminine given name of Hebrew origin, widely used across many cultures and languages.
E161036 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: [Anna Amalia of Brunswick-Wolfenbüttel, givenName, Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna
Context triple: [Anna Amalia of Brunswick-Wolfenbüttel, 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: [Anna Amalia of Brunswick-Wolfenbüttel, givenName, Anna]
Generated description
Anna is a feminine given name of Hebrew origin, widely used across many cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna
Target entity description: Anna is a feminine given name of Hebrew origin, widely used across many cultures and languages.
  • A. Anna chosen
    Anna is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used across many cultures and languages.
  • B. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • C. Anna
    Anna is the given first name of Pauli Murray, the pioneering American civil rights activist, lawyer, and Episcopal priest.
  • D. Anna
    Anna is the given name of Maria Anna Mahler, likely used as her primary personal name.
  • E. Anna
    Anna is the given first name of the German Dada artist Hannah Höch, a pioneering figure in photomontage and avant-garde art.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ae92c88190a3d3097f5b268a79 completed April 22, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb3d8d30819094aedeb3c8ce8edb completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea2b9788190b41d3da0b5f3329e completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf3466848190b2a5793f5f51efd7 completed May 17, 2026, 1:14 p.m.
Created at: April 16, 2026, 5:10 p.m.