Triple

T15500869
Position Surface form Disambiguated ID Type / Status
Subject Outliers E378947 entity
Predicate notableConcept P201 FINISHED
Object Matthew effect E846491 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: Matthew effect | Statement: [Outliers, notableConcept, Matthew effect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew effect
Context triple: [Outliers, notableConcept, Matthew effect]
  • A. Matthew effect chosen
    The Matthew effect is a sociological concept describing how individuals or groups who already possess advantages tend to accumulate more benefits over time, while those with fewer resources fall further behind.
  • B. Matthew effect in science
    The Matthew effect in science is a sociological concept describing how well-known scientists often receive disproportionately more credit and recognition than lesser-known researchers for similar work, reinforcing existing inequalities in scientific prestige and resources.
  • C. Rubin–Ford effect
    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.
  • D. Lusser's law
    Lusser's law is a reliability engineering principle that states the overall reliability of a system is the product of the reliabilities of its individual components, highlighting how system reliability decreases as more components are added in series.
  • E. Pareto principle
    The Pareto principle is an economic and management concept stating that roughly 80% of effects come from 20% of causes, often used to prioritize efforts and resources.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.