Triple
T5823516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospect theory |
E129165
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Daniel Kahneman |
E173277
|
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: Daniel Kahneman | Statement: [Prospect theory, developedBy, Daniel Kahneman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Kahneman Context triple: [Prospect theory, developedBy, Daniel Kahneman]
-
A.
Richard H. Thaler
Richard H. Thaler is a Nobel Prize–winning American economist known for pioneering behavioral economics and co-developing the concept of "nudge" theory.
-
B.
Gerd Gigerenzer
Gerd Gigerenzer is a German psychologist and decision theorist known for his work on bounded rationality, heuristics, and risk literacy.
-
C.
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.
-
D.
Daniel Kahneman (honorary doctorate, not student)
chosen
Daniel Kahneman is a Nobel Prize–winning psychologist and economist renowned for his pioneering work on judgment, decision-making, and behavioral economics.
-
E.
Sendhil Mullainathan
Sendhil Mullainathan is an economist and professor known for his work in behavioral economics, development economics, and the application of data science and machine learning to social and economic problems.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03418d410819092b6f5f6db45ed39 |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0985ab01c8190ac03cb95427c688d |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.