Triple

T16709782
Position Surface form Disambiguated ID Type / Status
Subject Nana Bryant E406074 entity
Predicate familyName P18 FINISHED
Object Bryant E213940 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: Bryant | Statement: [Nana Bryant, familyName, Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryant
Context triple: [Nana Bryant, familyName, Bryant]
  • A. Bryant chosen
    Bryant is a common English surname borne by numerous notable figures in American history, literature, sports, and public life.
  • B. Bryant
    Bryant is a suburban city in central Arkansas, United States, located near Little Rock.
  • C. Bryant
    Bryant is the middle name of James B. Conant, the influential American chemist, educator, and president of Harvard University.
  • D. Kobe Bryant
    Kobe Bryant was an American professional basketball player, primarily with the Los Angeles Lakers, widely regarded as one of the greatest players in NBA history.
  • E. Idon Bryant
    Idon Bryant is a musician best known as a member of the influential Berkeley punk band Crimpshrine.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.