Triple

T10947846
Position Surface form Disambiguated ID Type / Status
Subject Sonja Lyubomirsky E258642 entity
Predicate influencedBy P9 FINISHED
Object Ed Diener E256980 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: Ed Diener | Statement: [Sonja Lyubomirsky, influencedBy, Ed Diener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Diener
Context triple: [Sonja Lyubomirsky, influencedBy, Ed Diener]
  • A. Ed Diener chosen
    Ed Diener was a pioneering psychologist renowned for his research on subjective well-being and happiness, earning him the nickname "Dr. Happiness" and making him a central figure in the field of positive psychology.
  • B. Sonja Lyubomirsky
    Sonja Lyubomirsky is a psychologist and researcher best known for her pioneering work on happiness and well-being within the field of positive psychology.
  • C. Luke Nosek
    Luke Nosek is a Polish-American entrepreneur and venture capitalist best known as one of the co-founders of PayPal and a member of the original "PayPal Mafia."
  • D. Alan Pariser
    Alan Pariser is a music industry figure best known as a co-founder and collaborator of prominent record producer and manager Lou Adler.
  • E. Urie McCleary
    Urie McCleary was an American art director and production designer known for his work on numerous Hollywood films in the mid-20th century.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ebac3c8190849ddda3d9d37327 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c4a75688190894c83b8964509a6 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.