Triple
T20190154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Brain |
E492960
|
entity |
| Predicate | speciesOrType |
P37835
|
FINISHED |
| Object | organic supercomputer |
—
|
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: organic supercomputer | Statement: [Mother Brain, speciesOrType, organic supercomputer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesOrType Context triple: [Mother Brain, speciesOrType, organic supercomputer]
-
A.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
B.
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).
-
C.
organismType
chosen
Indicates the biological classification or kind of organism that an entity is.
-
D.
tipoDeOrganismo
Indicates that one entity is classified as a specific type or category of organism in relation to another.
-
E.
speciesForm
Indicates that one entity is a specific biological form, variant, or manifestation of a species represented 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_69e66ad4d7a88190b70dfb74a2daafba |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.