Triple
T20178133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night of the Living Dummy |
E492652
|
entity |
| Predicate | basedOnFictionalObjectType |
P81118
|
FINISHED |
| Object | ventriloquist's dummy |
—
|
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: ventriloquist's dummy | Statement: [Night of the Living Dummy, basedOnFictionalObjectType, ventriloquist's dummy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnFictionalObjectType Context triple: [Night of the Living Dummy, basedOnFictionalObjectType, ventriloquist's dummy]
-
A.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
-
B.
fictionalObject
Indicates that one entity is a fictional or imaginary object in relation to another entity.
-
C.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
D.
fictionalEntityType
chosen
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
-
E.
livesInFiction
Indicates that one entity exists or resides within the fictional world or narrative setting created by 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.