Triple
T33623242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgil Sollozzo |
E861328
|
entity |
| Predicate | dealInvolves |
P84866
|
FINISHED |
| Object | financing narcotics operations |
—
|
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: financing narcotics operations | Statement: [Virgil Sollozzo, dealInvolves, financing narcotics operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dealInvolves Context triple: [Virgil Sollozzo, dealInvolves, financing narcotics operations]
-
A.
dealContent
Indicates that one entity contains, specifies, or represents the substantive terms, details, or material of a deal or agreement involving another entity.
-
B.
hasDealingsIn
chosen
Indicates that an entity engages in activities, transactions, or business related to a particular domain, location, or subject.
-
C.
subjectOfSale
Indicates that one entity is the item, asset, or right being transferred or offered in a sale transaction involving another entity.
-
D.
typeOfDeal
Indicates the specific category or nature of a deal or agreement that applies between entities.
-
E.
tradeAspect
Indicates a relationship where one entity is associated with a specific aspect, feature, or dimension of a trade or commercial transaction.
- 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f81ea9388190bf58dad0672e7697 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.