Triple
T8766492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Be Afraid of the Dark |
E208350
|
entity |
| Predicate | creatureType |
P37835
|
FINISHED |
| Object | tooth fairy-like creatures |
—
|
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: tooth fairy-like creatures | Statement: [Don't Be Afraid of the Dark, creatureType, tooth fairy-like creatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatureType Context triple: [Don't Be Afraid of the Dark, creatureType, tooth fairy-like creatures]
-
A.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
B.
enemySpecies
Indicates that two species are in an antagonistic or hostile relationship, typically viewing each other as enemies.
-
C.
animalComponent
Indicates that one entity is a physical or functional part, piece, or constituent of an animal.
-
D.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
E.
organismType
chosen
Indicates the biological classification or kind of organism that an entity is.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:41 p.m.