Triple

T21463145
Position Surface form Disambiguated ID Type / Status
Subject Irene Shubik E529524 entity
Predicate sibling P363 FINISHED
Object Martin Shubik NE NERFINISHED

How this triple was built (3 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: Martin Shubik | Statement: [Irene Shubik, sibling, Martin Shubik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Shubik
Context triple: [Irene Shubik, sibling, Martin Shubik]
  • A. Herbert Scarf
    Herbert Scarf was an influential American economist and mathematician known for his work on general equilibrium theory, fixed-point theorems, and integer programming.
  • 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. Lloyd Shapley
    Lloyd Shapley was an American mathematician and Nobel laureate renowned for his foundational contributions to game theory and the theory of stable matching.
  • D. Harold W. Kuhn
    Harold W. Kuhn was an American mathematician and game theorist best known for his work on nonlinear programming and the Kuhn–Tucker conditions.
  • E. John Harsanyi
    John Harsanyi was a Hungarian-American economist and Nobel laureate renowned for his foundational contributions to game theory and welfare economics, particularly his work on modeling rational behavior and social choice under uncertainty.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Shubik
Target entity description: Martin Shubik was an American economist and game theorist known for his influential work on the theory of money and strategic market games.
  • A. Herbert Scarf
    Herbert Scarf was an influential American economist and mathematician known for his work on general equilibrium theory, fixed-point theorems, and integer programming.
  • 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. Lloyd Shapley
    Lloyd Shapley was an American mathematician and Nobel laureate renowned for his foundational contributions to game theory and the theory of stable matching.
  • D. Harold W. Kuhn
    Harold W. Kuhn was an American mathematician and game theorist best known for his work on nonlinear programming and the Kuhn–Tucker conditions.
  • E. John Harsanyi
    John Harsanyi was a Hungarian-American economist and Nobel laureate renowned for his foundational contributions to game theory and welfare economics, particularly his work on modeling rational behavior and social choice under uncertainty.
  • F. None of above. chosen

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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9efdb188190be79b72e1bd18860 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.