Triple

T4419685
Position Surface form Disambiguated ID Type / Status
Subject Anna Bronson Alcott E95066 entity
Predicate givenName P17 FINISHED
Object Anna
Anna is a feminine given name with historical and cultural roots in Hebrew and Latin forms of the name Hannah, commonly used across many languages and countries.
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 Bronson Alcott, givenName, Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna
Context triple: [Anna Bronson Alcott, givenName, Anna]
  • A. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • B. Anna
    Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
  • C. Anna
    Anna is a central female character in the comedy Western film "A Million Ways to Die in the West," portrayed as a sharp-shooting, quick-witted woman who helps the protagonist toughen up in the dangerous frontier.
  • 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 is traditionally revered in Christianity as the mother of the Virgin Mary and the grandmother of Jesus.
  • 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 Bronson Alcott, givenName, Anna]
Generated description
Anna is a feminine given name with historical and cultural roots in Hebrew and Latin forms of the name Hannah, commonly used across many languages and countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna
Target entity description: Anna is a feminine given name with historical and cultural roots in Hebrew and Latin forms of the name Hannah, commonly used across many languages and countries.
  • 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 name of Anna Laetitia Barbauld, an influential 18th–19th century English poet, essayist, and children's author.
  • D. Anna
    Anna is traditionally revered in Christianity as the mother of the Virgin Mary and the grandmother of Jesus.
  • E. Anna
    Anna is the given name of pioneering Chinese American actress Anna May Wong, a trailblazing early Hollywood star and fashion icon.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551fae7c8190abafda0d78f02d89 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b627f1a7a0819087652c3599855274 completed March 15, 2026, 3:30 a.m.
NEDg Description generation batch_69b6295218e88190a48e8bfeb2febe2e completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62b05bcec8190a0c8d1c0e5a62c75 completed March 15, 2026, 3:44 a.m.
Created at: March 12, 2026, 11:29 p.m.