Triple
T35632356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Book of Safe Money |
E1029620
|
entity |
| Predicate | hasConservativeApproach |
P64477
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Little Book of Safe Money, hasConservativeApproach, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConservativeApproach Context triple: [The Little Book of Safe Money, hasConservativeApproach, true]
-
A.
isConservative
Indicates that an entity holds or supports conservative views, values, or positions in a given context.
-
B.
hasConservatism
chosen
Indicates that one entity possesses, exhibits, or is characterized by a tendency toward conservatism in behavior, beliefs, or practices.
-
C.
isConservativeOver
Indicates that one entity preserves or does not increase a certain property, measure, or effect when applied over or in relation to another entity.
-
D.
hasConservativeFaction
Indicates that an entity includes or is associated with a subgroup characterized by conservative views or positions.
-
E.
hasMoreConservativeRegion
Indicates that one region is characterized by more conservative attributes, policies, or tendencies compared to another region.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.