Triple

T18100671
Position Surface form Disambiguated ID Type / Status
Subject Matthew Rabin E433204 entity
Predicate influencedBy P9 FINISHED
Object Amos Tversky 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: Amos Tversky | Statement: [Matthew Rabin, influencedBy, Amos Tversky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amos Tversky
Context triple: [Matthew Rabin, influencedBy, Amos Tversky]
  • A. Amos Tversky chosen
    Amos Tversky was a pioneering cognitive and mathematical psychologist whose work on judgment, decision-making, and behavioral economics—most notably with Daniel Kahneman—fundamentally reshaped our understanding of human rationality.
  • B. Howard Raiffa
    Howard Raiffa was an influential American statistician and decision theorist known for pioneering work in game theory, Bayesian analysis, and negotiation analysis.
  • C. Ralph Hertwig
    Ralph Hertwig is a German psychologist and decision scientist known for his research on judgment, decision-making, and bounded rationality.
  • D. Gerd Gigerenzer
    Gerd Gigerenzer is a German psychologist and decision theorist known for his work on bounded rationality, heuristics, and risk literacy.
  • E. Matthew Rabin
    Matthew Rabin is an influential American economist known for his pioneering work in behavioral economics, particularly on how psychological factors affect decision-making and market outcomes.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb5e6208190b3c3cce3b95d66ad completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.