Triple
T12913572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet P |
E308920
|
entity |
| Predicate | speciesDetail |
P17196
|
FINISHED |
| Object | half-demon, half-rainicorn |
—
|
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: half-demon, half-rainicorn | Statement: [Sweet P, speciesDetail, half-demon, half-rainicorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesDetail Context triple: [Sweet P, speciesDetail, half-demon, half-rainicorn]
-
A.
speciesDescription
Indicates a textual description that characterizes or explains the features, traits, or nature of a species.
-
B.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
C.
speciesType
chosen
Indicates the specific biological species category to which an entity belongs.
-
D.
speciesForm
Indicates that one entity is a specific biological form, variant, or manifestation of a species represented by another entity.
-
E.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.