Triple
T38570046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleaver |
E929239
|
entity |
| Predicate | financedByCharacter |
P67
|
FINISHED |
| Object | Silvio Dante |
—
|
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: Silvio Dante | Statement: [Cleaver, financedByCharacter, Silvio Dante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financedByCharacter Context triple: [Cleaver, financedByCharacter, Silvio Dante]
-
A.
fundFinancedBy
Indicates that a particular fund receives its financial resources or backing from a specified source or entity.
-
B.
fundedBy
chosen
Indicates that an entity receives financial support or resources from another entity.
-
C.
contributesCharacter
Indicates that one entity adds or provides a particular character or trait to another entity.
-
D.
givenByCharacter
Indicates that something (such as an item, information, or assistance) is provided or handed over by a particular character.
-
E.
commissionedByCharacter
Indicates that an item, work, or action was created or carried out at the request or initiative of a specific 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.