Triple
T32102056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barney Matthews |
E819875
|
entity |
| Predicate | hasRelationshipToHannibalLecter |
—
|
GENERATED |
| Object | custodian |
—
|
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: hasRelationshipToHannibalLecter Context triple: [Barney Matthews, hasRelationshipToHannibalLecter, custodian]
-
A.
hasRelationshipToJackTorrance
Indicates that one entity has some form of relationship or connection to Jack Torrance.
-
B.
hasRelationshipToPerpetrator
Indicates that an entity has a specified type of relationship or connection to the perpetrator of an act or event.
-
C.
haveRelationshipWith
chosen
Indicates that one entity is in some form of defined relationship or association with another entity.
-
D.
hasRelationshipTypeWith Frank Drebin
Indicates that there exists a specific type of relationship between an entity and Frank Drebin.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:26 a.m.