Triple

T1601599
Position Surface form Disambiguated ID Type / Status
Subject Gianna Bryant E34404 entity
Predicate givenName P17 FINISHED
Object Gianna
Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
 E187345 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: Gianna | Statement: [Gianna Bryant, givenName, Gianna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gianna
Context triple: [Gianna Bryant, givenName, Gianna]
  • A. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • B. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • C. Katjana Ballantyne
    Katjana Ballantyne is an American politician who serves as the mayor of Somerville, Massachusetts.
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • 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: Gianna
Triple: [Gianna Bryant, givenName, Gianna]
Generated description
Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gianna
Target entity description: Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • A. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • B. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • C. Katjana Ballantyne
    Katjana Ballantyne is an American politician who serves as the mayor of Somerville, Massachusetts.
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094b7b3c8190a5b08699e07a770f completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680e8c908190a62a0a2f92a2b335 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad69017e448190b337337431c6f797 completed March 8, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ad6966c3108190bf2519f698dd3903 completed March 8, 2026, 12:19 p.m.
Created at: March 4, 2026, 7:28 p.m.