Triple
T27747512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Anastasio |
E702025
|
entity |
| Predicate | criminalAssociation |
P21640
|
FINISHED |
| Object | Italian-American Mafia |
—
|
NE NERFINISHED |
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: Italian-American Mafia | Statement: [Anthony Anastasio, criminalAssociation, Italian-American Mafia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criminalAssociation Context triple: [Anthony Anastasio, criminalAssociation, Italian-American Mafia]
-
A.
criminalOrganization
chosen
Indicates that the subject is an organized group engaged in ongoing illegal activities, often with structured hierarchy and coordination.
-
B.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
-
C.
declaredCriminalOrganizationIn
Indicates that an authority has officially designated a group as a criminal organization within a specific jurisdiction or location.
-
D.
associatedWithFictionalGang
Indicates a relationship where an entity is linked or connected to a fictional gang, such as by membership, affiliation, or notable involvement.
-
E.
partnerInCrime
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6371b9fbc819097044eacdcd7c324 |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:17 p.m.