Triple
T22273309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amos Tversky |
E550535
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Tversky | Statement: [Amos Tversky, familyName, Tversky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tversky Context triple: [Amos Tversky, familyName, 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.
Ralph Hertwig
Ralph Hertwig is a German psychologist and decision scientist known for his research on judgment, decision-making, and bounded rationality.
-
C.
Sternberg
Sternberg is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as psychology, business, and the arts.
-
D.
Ellsberg
Ellsberg is a surname most famously associated with Daniel Ellsberg, the American military analyst who leaked the Pentagon Papers during the Vietnam War.
-
E.
Gigerenzer
Gigerenzer is a German psychologist best known for his work on heuristics, decision-making under uncertainty, and the concept of "fast and frugal" reasoning.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.