Triple
T19043371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dracula: Prince of Darkness |
E466064
|
entity |
| Predicate | containsCreatureType |
P36903
|
FINISHED |
| Object | vampire |
—
|
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: vampire | Statement: [Dracula: Prince of Darkness, containsCreatureType, vampire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCreatureType Context triple: [Dracula: Prince of Darkness, containsCreatureType, vampire]
-
A.
hasCreature
chosen
Indicates that one entity possesses, contains, or is associated with a particular creature.
-
B.
usesCreature
Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
-
C.
containsSpeciesWithTrait
Indicates that a collection or group includes at least one species that exhibits a specified trait.
-
D.
mentionsCreature
Indicates that one entity refers to or brings up a particular creature in some form of communication or content.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d801ef188190a231e85e1bbce037 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.