Triple

T10279659
Position Surface form Disambiguated ID Type / Status
Subject Natalia Bryant E241063 entity
Predicate sibling P363 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: [Natalia Bryant, sibling, Gianna Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gianna Bryant
Context triple: [Natalia Bryant, sibling, 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. Bianka Bryant
    Bianka Bryant is one of the daughters of the late NBA legend Kobe Bryant and his wife Vanessa Bryant.
  • C. 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.
  • D. Katie Bryant
    Katie Bryant is known as the daughter of Phil Bryant, the former governor of Mississippi.
  • E. 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.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29fdf2c819099dd581deac08cf2 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cf7f644819085dd687b286004ad completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:38 a.m.