Triple
T8321806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rationality: What It Is, Why It Seems Scarce, Why It Matters |
E194849
|
entity |
| Predicate | relatedField |
P6979
|
FINISHED |
| Object |
decision theory
Decision theory is a field that studies how individuals and agents should make choices under conditions of uncertainty, weighing probabilities, outcomes, and preferences to determine optimal decisions.
|
E725899
|
NE FINISHED |
How this triple was built (4 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: decision theory | Statement: [Rationality: What It Is, Why It Seems Scarce, Why It Matters, relatedField, decision theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: decision theory Context triple: [Rationality: What It Is, Why It Seems Scarce, Why It Matters, relatedField, decision theory]
-
A.
Decision Analysis
Decision Analysis is a scholarly journal that focuses on the theory and application of quantitative methods for making informed decisions under uncertainty.
-
B.
complete class theorem in decision theory
The complete class theorem in decision theory is a foundational result that characterizes optimal decision rules by showing that any admissible rule belongs to a "complete class" beyond which no better procedures exist.
-
C.
expected utility theory (with John von Neumann)
Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
-
D.
Foundations of a General Theory of Sequential Decision Functions
Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
-
E.
prospect theory
Prospect theory is a behavioral economic framework that explains how people actually make decisions under risk and uncertainty, highlighting systematic deviations from the predictions of classical expected utility theory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: decision theory Triple: [Rationality: What It Is, Why It Seems Scarce, Why It Matters, relatedField, decision theory]
Generated description
Decision theory is a field that studies how individuals and agents should make choices under conditions of uncertainty, weighing probabilities, outcomes, and preferences to determine optimal decisions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: decision theory Target entity description: Decision theory is a field that studies how individuals and agents should make choices under conditions of uncertainty, weighing probabilities, outcomes, and preferences to determine optimal decisions.
-
A.
Decision Analysis
Decision Analysis is a scholarly journal that focuses on the theory and application of quantitative methods for making informed decisions under uncertainty.
-
B.
complete class theorem in decision theory
The complete class theorem in decision theory is a foundational result that characterizes optimal decision rules by showing that any admissible rule belongs to a "complete class" beyond which no better procedures exist.
-
C.
expected utility theory (with John von Neumann)
Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
-
D.
Foundations of a General Theory of Sequential Decision Functions
Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
-
E.
prospect theory
Prospect theory is a behavioral economic framework that explains how people actually make decisions under risk and uncertainty, highlighting systematic deviations from the predictions of classical expected utility theory.
- F. None of above. chosen
Provenance (5 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f693ad08190ad4ce6269a61eb3f |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95a058948190b056d9b0f0607933 |
completed | April 1, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69cdab5f30b0819080136084d81774a9 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2d365e48190a766ca959ce56b19 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:55 p.m.