Triple
T35831156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macklyn Warlow |
E1035801
|
entity |
| Predicate | isFaerie |
P61619
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Macklyn Warlow, isFaerie, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFaerie Context triple: [Macklyn Warlow, isFaerie, true]
-
A.
hasFairyCharacters
chosen
Indicates that the subject includes or features characters that are fairies.
-
B.
isCharmedBy
Indicates that one entity is under the magical or emotional influence of another, often resulting in admiration, attraction, or enchantment.
-
C.
isMythical
Indicates that the entity is considered mythical, existing only in legend, folklore, or imagination rather than in reality.
-
D.
isFern
Indicates that the subject is classified as a fern, i.e., a plant belonging to the group of vascular, spore-producing, non-flowering plants.
-
E.
isMythologicalFigureType
Indicates that one entity is classified as a specific type or category of mythological figure in relation to 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.