Triple
T22891680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hound of the Baskervilles (1983 film) |
E568056
|
entity |
| Predicate | featuresFictionalCreature |
P18264
|
FINISHED |
| Object | demonic hound |
—
|
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: demonic hound | Statement: [The Hound of the Baskervilles (1983 film), featuresFictionalCreature, demonic hound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalCreature Context triple: [The Hound of the Baskervilles (1983 film), featuresFictionalCreature, demonic hound]
-
A.
featuresFictionalElement
Indicates that one entity includes, presents, or incorporates a fictional element (such as an imaginary character, place, object, or concept) as part of its content or composition.
-
B.
monsterCharacteristic
Indicates that a monster possesses a particular attribute, trait, or quality.
-
C.
featuresMonster
chosen
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
D.
featuresFictionalUnit
Indicates that something includes or presents a fictional unit (such as a character, group, or organization) as part of its content or structure.
-
E.
featuresFictionalForm
Indicates that one entity includes, presents, or incorporates a fictional representation or version of another 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.