Triple

T9820484
Position Surface form Disambiguated ID Type / Status
Subject Anna Maria Dandridge Bassett E238516 entity
Predicate familyName P18 FINISHED
Object Bassett E147950 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: Bassett | Statement: [Anna Maria Dandridge Bassett, familyName, Bassett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bassett
Context triple: [Anna Maria Dandridge Bassett, familyName, Bassett]
  • A. Bassett chosen
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • B. Basset
    Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
  • C. Shepshed
    Shepshed is a town in the English East Midlands known historically for its textile industry and now as a residential community near Loughborough in Leicestershire.
  • D. Cavalier
    Cavalier was a mid-20th-century American men's magazine known for publishing fiction, including early works by notable authors such as Stephen King.
  • E. Cavalier
    Cavalier is the costumed mascot character representing the University of Virginia’s athletic teams, typically depicted as a historical Virginia cavalryman.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb313134081908eb0ba3a22b22e2b completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc78ffcc8190bb26a224350376dc completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.