Triple
T28207900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horror of Dracula |
E717080
|
entity |
| Predicate | featuresVampires |
P113104
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Horror of Dracula, featuresVampires, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVampires Context triple: [Horror of Dracula, featuresVampires, true]
-
A.
vampireType
Indicates that one entity is classified as a specific type or category of vampire in relation to another entity.
-
B.
isVampire
Indicates that an entity possesses the defining traits or status of being a vampire.
-
C.
portraysVampiresAs
chosen
Indicates how something represents or depicts vampires, especially in terms of their nature, traits, or role.
-
D.
vampireAbility
Indicates that one entity possesses a supernatural power or trait specifically associated with being a vampire in relation to another entity or context.
-
E.
featuresFictionalVirus
Indicates that a work includes or depicts a fictional virus as part of its content or storyline.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: April 27, 2026, 10:36 p.m.