Triple
T11345149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvio Dante |
E268693
|
entity |
| Predicate | gangRank |
P97359
|
FINISHED |
| Object | high-ranking member of the DiMeo crime family |
—
|
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: high-ranking member of the DiMeo crime family | Statement: [Silvio Dante, gangRank, high-ranking member of the DiMeo crime family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gangRank Context triple: [Silvio Dante, gangRank, high-ranking member of the DiMeo crime family]
-
A.
goRank
Indicates a ranking or ordered position assigned to an entity within a sequence or hierarchy.
-
B.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
C.
formationRank
chosen
Indicates the hierarchical position or level an entity holds within a particular formation or organized group.
-
D.
globalRanking
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
E.
SSRank
Indicates a ranking relationship that orders entities based on their social status, standing, or relative importance within a specified context.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.