Triple
T37107353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cammareri Brothers Bakery |
E918880
|
entity |
| Predicate | associatedWithCharacterFamilyName |
—
|
GENERATED |
| Object | Cammareri |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCharacterFamilyName Context triple: [Cammareri Brothers Bakery, associatedWithCharacterFamilyName, Cammareri]
-
A.
associatedWithCharacterFamily
chosen
Indicates a relationship where something is linked or connected to a particular character’s family.
-
B.
associatedWithCharacterAlias
Indicates that one entity is linked to or connected with an alternative name or alias used for a particular character.
-
C.
associatedWithCharacterGroup
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
D.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
E.
associatedWithFilmCharacterType
Indicates that an entity has an association or connection with a particular type or category of film character.
- F. None of above.
Provenance (1 batch)
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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.