Triple
T29182734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dracula's castle |
E739786
|
entity |
| Predicate | primaryAntagonistResidenceOf |
P130722
|
FINISHED |
| Object | Dracula |
—
|
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: Dracula | Statement: [Dracula's castle, primaryAntagonistResidenceOf, Dracula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAntagonistResidenceOf Context triple: [Dracula's castle, primaryAntagonistResidenceOf, Dracula]
-
A.
antagonistLocationFor
Indicates that a location serves as the primary place where an antagonist operates, resides, or exerts influence in relation to a given context or entity.
-
B.
antagonistBaseOf
chosen
Indicates that one entity serves as the primary base, headquarters, or stronghold from which an antagonist operates or exerts influence over another entity.
-
C.
antagonistsHomeworld
Indicates the planet or world that serves as the primary origin or base of the antagonists.
-
D.
primaryAntagonisticRealmIn
Indicates that an entity’s main or most significant antagonistic or opposing activity occurs within a specified realm or domain.
-
E.
fictionalResidence
Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a00c3362dcc819096e49b882709fddd |
completed | May 10, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_6a00c2e5cdd88190a5f2d0f6a843cd56 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 28, 2026, 11:58 a.m.