Triple

T19773803
Position Surface form Disambiguated ID Type / Status
Subject CCDC E474953 entity
Predicate founder P104 FINISHED
Object Olga Kennard 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: Olga Kennard | Statement: [CCDC, founder, Olga Kennard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Kennard
Context triple: [CCDC, founder, Olga Kennard]
  • A. Olga Kennard chosen
    Olga Kennard was a pioneering British crystallographer whose work in structural chemistry and data sharing led to the creation of the Cambridge Crystallographic Data Centre and significantly advanced the field of crystallography.
  • B. Olga James
    Olga James is an American actress and singer best known for her role in the 1954 musical film adaptation of "Carmen Jones."
  • C. Olga Bell
    Olga Bell is a Russian-born American composer, producer, and multi-instrumentalist known for her experimental pop and electronic music as well as her work with various indie and avant-garde projects.
  • D. Karen Aldrich
    Karen Aldrich is a character in Judith Guest’s novel "Ordinary People," known as a friend of protagonist Conrad Jarrett who reflects his struggles with trauma and recovery.
  • E. Elizabeth Nourse
    Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535e450c8190a2628245ae0d0bd3 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.