Triple
T4609748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horror of Dracula |
E100524
|
entity |
| Predicate | hasMonsterType |
P18264
|
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: [Horror of Dracula, hasMonsterType, vampire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonsterType Context triple: [Horror of Dracula, hasMonsterType, vampire]
-
A.
hasMythType
Indicates that an entity is associated with or classified under a particular type or category of myth.
-
B.
hasCreature
Indicates that one entity possesses, contains, or is associated with a particular creature.
-
C.
featuresMonster
chosen
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
D.
hasMob
Indicates that an entity possesses, controls, or is associated with a particular mob or group of mobile agents.
-
E.
hasMythicMotif
Indicates that one entity features, embodies, or is associated with a particular mythic motif found in the other entity.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.