Triple
T1748297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wizarding World |
E38382
|
entity |
| Predicate | featuresFictionalSpecies |
P15758
|
FINISHED |
| Object | house-elf |
—
|
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: house-elf | Statement: [Wizarding World, featuresFictionalSpecies, house-elf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalSpecies Context triple: [Wizarding World, featuresFictionalSpecies, house-elf]
-
A.
fictionalSpecies
chosen
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
B.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
C.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
-
D.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
E.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.