Triple
T35181572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertram Cooper |
E1015863
|
entity |
| Predicate | hasViewOnEconomics |
P33963
|
FINISHED |
| Object | pro-free-market |
—
|
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: pro-free-market | Statement: [Bertram Cooper, hasViewOnEconomics, pro-free-market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewOnEconomics Context triple: [Bertram Cooper, hasViewOnEconomics, pro-free-market]
-
A.
economicView
chosen
Indicates a relationship where one entity holds or expresses a particular economic belief, stance, or perspective regarding economic systems, policies, or issues.
-
B.
hasEconomicFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
-
C.
hasEconomicDimension
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
D.
hasEconomicContext
Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
-
E.
hasEconomicEvidence
Indicates that there exists supporting economic data, analysis, or documentation demonstrating or justifying the referenced relationship or claim.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:02 p.m.