Triple
T34998962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Corrado Prizzi |
E1009613
|
entity |
| Predicate | relationshipToCharleyPartanna |
P38921
|
FINISHED |
| Object | family patriarch and boss |
—
|
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: family patriarch and boss | Statement: [Don Corrado Prizzi, relationshipToCharleyPartanna, family patriarch and boss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCharleyPartanna Context triple: [Don Corrado Prizzi, relationshipToCharleyPartanna, family patriarch and boss]
-
A.
relationshipToCarolPeletier
Indicates the specific familial, social, or interpersonal connection an entity has to Carol Peletier.
-
B.
familyRelationToCharltons
Indicates the type of familial relationship an entity has to the Charltons.
-
C.
relationshipToTinaBordereau
Indicates the specific type of personal or professional relationship an entity has with Tina Bordereau.
-
D.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
-
E.
relationshipToCharacter
chosen
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.