Triple

T28021859
Position Surface form Disambiguated ID Type / Status
Subject Isabella Karle E707708 entity
Predicate notableContribution P477 FINISHED
Object refinement of methods for determining three-dimensional molecular structures from X-ray diffraction data LITERAL FINISHED

How this triple was built (1 step)

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: refinement of methods for determining three-dimensional molecular structures from X-ray diffraction data | Statement: [Isabella Karle, notableContribution, refinement of methods for determining three-dimensional molecular structures from X-ray diffraction data]

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_69ef96baf3a881909a2b63844185dddd completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63c0aec4c8190b886206287036ada completed May 2, 2026, 6:01 p.m.
Created at: April 27, 2026, 8:10 p.m.