Triple
T37916972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami drug cartel |
E945844
|
entity |
| Predicate | wealthDisplay |
P124254
|
FINISHED |
| Object | lavish lifestyle and luxury properties |
—
|
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: lavish lifestyle and luxury properties | Statement: [Miami drug cartel, wealthDisplay, lavish lifestyle and luxury properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wealthDisplay Context triple: [Miami drug cartel, wealthDisplay, lavish lifestyle and luxury properties]
-
A.
wealthSymbol
chosen
Indicates that one entity serves as a representation or sign of wealth for another entity.
-
B.
viewOnWealth
Indicates a person’s attitude, belief, or perspective regarding wealth and its importance or use.
-
C.
wealthDescribedAs
Indicates that one entity’s wealth is characterized, portrayed, or expressed in terms of another entity or description.
-
D.
hasWealthReflectedIn
Indicates that an entity’s wealth, assets, or financial status is expressed, represented, or evidenced in another entity (such as a document, metric, or object).
-
E.
netWorthStatus
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.