Triple
T20414799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland crime family |
E500678
|
entity |
| Predicate | infiltratedSector |
P124119
|
FINISHED |
| Object | labor unions |
—
|
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: labor unions | Statement: [Cleveland crime family, infiltratedSector, labor unions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infiltratedSector Context triple: [Cleveland crime family, infiltratedSector, labor unions]
-
A.
infiltratedBy
Indicates that an entity has been secretly entered, penetrated, or taken over by another entity, typically in a covert or unauthorized manner.
-
B.
infiltratesOrganization
chosen
Indicates that one entity secretly enters or gains access to an organization, typically without authorization, to observe, influence, or undermine it.
-
C.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
D.
intrudedInto
Indicates that one entity has entered or encroached upon another entity’s space, domain, or context without permission or in an unwelcome manner.
-
E.
dominatedSector
Indicates that one entity exercises prevailing control or influence over a particular sector relative to others.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a437eec8190a20c89a236dd5bc0 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.