Triple

T6558868
Position Surface form Disambiguated ID Type / Status
Subject Vera Florence Cooper E152521 entity
Predicate knownFor P22 FINISHED
Object Rubin–Ford effect E290149 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: Rubin–Ford effect | Statement: [Vera Florence Cooper, knownFor, Rubin–Ford effect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubin–Ford effect
Context triple: [Vera Florence Cooper, knownFor, Rubin–Ford effect]
  • A. Rubin–Ford effect chosen
    The Rubin–Ford effect is an observed large-scale motion of galaxies relative to the cosmic microwave background that provided early evidence for peculiar velocities and inhomogeneities in the universe’s expansion.
  • B. Ehrenstein
    Ehrenstein is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • C. Aitken’s Law
    Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
  • D. Cohen-Kagan
    Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
  • E. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae202e508190a08a0c0584648b83 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55c817481908f570b85a6b407f9 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.