Triple
T30290283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Sees God |
E770351
|
entity |
| Predicate | isUnauthorizedAdaptationOf |
P169051
|
FINISHED |
| Object | Peanuts |
—
|
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: Peanuts | Statement: [Dog Sees God, isUnauthorizedAdaptationOf, Peanuts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnauthorizedAdaptationOf Context triple: [Dog Sees God, isUnauthorizedAdaptationOf, Peanuts]
-
A.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
B.
mayAdapt
Indicates that one entity is permitted or allowed to modify, adjust, or alter another entity.
-
C.
notAuthorizedFor
Indicates that an entity lacks the required permission or authority to perform a specific action or access a particular resource.
-
D.
excludesDirectAdaptationOf
Indicates that something explicitly omits or does not include a direct adaptation of another specific work or source.
-
E.
adaptedWithin
Indicates that one entity has been modified, adjusted, or tailored to function appropriately within the context, scope, or boundaries defined by another entity.
- F. None of above. chosen
Provenance (4 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6810beb688190bd9716c9cfe8f00f |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:47 p.m.