Triple

T7789739
Position Surface form Disambiguated ID Type / Status
Subject Gianna E187345 entity
Predicate notableBearer P458 FINISHED
Object Gianna Bryant E34404 NE FINISHED

How this triple was built (2 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 Bryant | Statement: [Gianna, notableBearer, Gianna Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gianna Bryant
Context triple: [Gianna, notableBearer, Gianna Bryant]
  • A. Gianna Bryant chosen
    Gianna Bryant was the teenage daughter of NBA legend Kobe Bryant and a promising young basketball player whose life was tragically cut short in a 2020 helicopter crash.
  • B. Vanessa Bryant
    Vanessa Bryant is an American philanthropist and businesswoman best known as the widow of NBA legend Kobe Bryant and co-founder of the Mamba & Mambacita Sports Foundation.
  • C. Katie Bryant
    Katie Bryant is known as the daughter of Phil Bryant, the former governor of Mississippi.
  • D. Lauren Mara
    Lauren Mara is a member of the Mara family, known for its long-standing ownership and leadership of the New York Giants NFL franchise.
  • E. Capri Bryant
    Capri Bryant is the youngest daughter of late NBA legend Kobe Bryant and his wife Vanessa Bryant.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69caf62c8568819090c058b0c55b7865 completed March 30, 2026, 10:16 p.m.
Created at: March 30, 2026, 4:25 p.m.