Triple

T16911710
Position Surface form Disambiguated ID Type / Status
Subject Clarissa Brown E410211 entity
Predicate name P16 FINISHED
Object Clarissa Brown NE NERFINISHED

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: Clarissa Brown | Statement: [Clarissa Brown, name, Clarissa Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarissa Brown
Context triple: [Clarissa Brown, name, Clarissa Brown]
  • A. Clarissa Brown chosen
    Clarissa Brown was the wife of American explorer and soldier Zebulon Pike, known for her connection to his early 19th-century expeditions and military career.
  • B. Rebecca Jefferson
    Rebecca Jefferson is an American stylist and fashion consultant best known as the wife of actor Lance Gross.
  • C. Miriam Bryant
    Miriam Bryant is a Swedish pop singer and songwriter known for her powerful vocals and emotionally charged, melodic songs.
  • D. Lenora Crichlow
    Lenora Crichlow is a British actress best known for her role as Annie Sawyer in the supernatural drama series "Being Human."
  • E. Rebecca Mary Few Brown
    Rebecca Mary Few Brown is a British woman best known as the former wife of Charles James Spencer-Churchill, the 12th Duke of Marlborough.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
Created at: April 10, 2026, 5:30 a.m.