Triple
T11584842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marceline the Vampire Queen |
E274722
|
entity |
| Predicate | doesNotFeedOn |
P100448
|
FINISHED |
| Object | blood |
—
|
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: blood | Statement: [Marceline the Vampire Queen, doesNotFeedOn, blood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotFeedOn Context triple: [Marceline the Vampire Queen, doesNotFeedOn, blood]
-
A.
notableFeedingBehavior
Indicates a characteristic way or pattern in which an entity typically obtains or consumes food that is considered distinctive or noteworthy.
-
B.
animalDietProvided
Indicates that food appropriate to an animal’s dietary needs is supplied to it.
-
C.
feedingHabitat
Indicates the type of environment or location where an organism typically obtains and consumes its food.
-
D.
isCarnivorous
Indicates that an entity feeds primarily or exclusively on other animals.
-
E.
gnawingBehavior
Indicates a relationship where an entity persistently chews or bites another entity, typically causing gradual wear or damage.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89462203881908870e991a5b21770 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.