Triple

T7789721
Position Surface form Disambiguated ID Type / Status
Subject Gianna E187345 entity
Predicate relatedName P3889 FINISHED
Object Joanna
Joanna is a feminine given name used in various cultures, often associated with forms of the name John and shared by many notable historical and contemporary figures.
 E695409 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: Joanna | Statement: [Gianna, relatedName, Joanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joanna
Context triple: [Gianna, relatedName, Joanna]
  • A. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • B. Joanna
    Joanna is a woman mentioned in the New Testament as one of Jesus’ followers who witnessed his resurrection.
  • C. Joanna
    Joanna, also known as Joan, Lady of Wales, was the illegitimate daughter of King John of England and the wife of Llywelyn the Great, Prince of Gwynedd.
  • D. Johanna
    "Johanna" is a recurring, lyrically poignant love song from Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
  • E. Johanna
    Johanna is the birth name of Magda Goebbels, the wife of Nazi propaganda minister Joseph Goebbels and a prominent figure in Nazi Germany.
  • 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: Joanna
Triple: [Gianna, relatedName, Joanna]
Generated description
Joanna is a feminine given name used in various cultures, often associated with forms of the name John and shared by many notable historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joanna
Target entity description: Joanna is a feminine given name used in various cultures, often associated with forms of the name John and shared by many notable historical and contemporary figures.
  • A. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • B. Joanna
    Joanna is a woman mentioned in the New Testament as one of Jesus’ followers who witnessed his resurrection.
  • C. Joanna
    Joanna, also known as Joan, Lady of Wales, was the illegitimate daughter of King John of England and the wife of Llywelyn the Great, Prince of Gwynedd.
  • D. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • E. Johanna
    "Johanna" is a recurring, lyrically poignant love song from Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7ea13f08190a60c5f1863bce816 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139fdf188190b1c80dd6d008c34d completed March 31, 2026, 12:21 a.m.
NEDg Description generation batch_69cb1a1414a08190912945cee30e6bc2 completed March 31, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69cb3843368881908d7c4d5a81c53a23 completed March 31, 2026, 2:58 a.m.
Created at: March 30, 2026, 4:25 p.m.