Triple
T10396384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hustle |
E245031
|
entity |
| Predicate | targetOfScams |
P78156
|
FINISHED |
| Object | corrupt businessmen |
—
|
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: corrupt businessmen | Statement: [Hustle, targetOfScams, corrupt businessmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOfScams Context triple: [Hustle, targetOfScams, corrupt businessmen]
-
A.
targetOfCrime
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
-
B.
targetedBecauseOf
Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
-
C.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
D.
oftenTargetedBy
chosen
Indicates that an entity is frequently chosen or subjected as the object of another entity’s actions, attention, or attacks.
-
E.
lawEnforcementTarget
Indicates that an entity is the focus or object of attention, investigation, or action by law enforcement authorities.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:06 p.m.