Triple
T27010032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thinking, Fast and Slow |
E680357
|
entity |
| Predicate | characterizesSystem1As |
P163838
|
FINISHED |
| Object | fast |
—
|
LITERAL 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: fast | Statement: [Thinking, Fast and Slow, characterizesSystem1As, fast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesSystem1As Context triple: [Thinking, Fast and Slow, characterizesSystem1As, fast]
-
A.
definesSystemAs
Indicates that one entity explicitly specifies or establishes another entity as the system to be used, referenced, or treated as authoritative.
-
B.
rootSystemCharacteristic
Indicates a relationship where a specified characteristic or property is attributed to the root system of an organism or plant.
-
C.
modelsSystemsWith
Indicates that one entity creates or uses a representation or abstraction to describe, analyze, or simulate another system.
-
D.
systemNotableCharacteristic
chosen
Indicates that a system possesses a particular distinguishing feature or attribute that is especially noteworthy or significant.
-
E.
chieflySystem
Indicates that something serves primarily or predominantly as a system, or that its main role or function is system-related.
- F. None of above.
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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 27, 2026, 7:02 a.m.