Triple
T35042342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nostromo |
E1011100
|
entity |
| Predicate | modelDesigner |
P44407
|
FINISHED |
| Object | Brian Johnson |
—
|
NE NERFINISHED |
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: Brian Johnson | Statement: [Nostromo, modelDesigner, Brian Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modelDesigner Context triple: [Nostromo, modelDesigner, Brian Johnson]
-
A.
designModel
chosen
Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
-
B.
featureDesigner
Indicates that a person serves as the designer responsible for creating or specifying a particular feature.
-
C.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
D.
algorithmDesigner
Indicates that one entity is responsible for creating or designing algorithms used by another entity or within a particular system.
-
E.
neuralEngineDesigner
Indicates that one entity is the designer or creator of another entity’s neural engine.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f785933d648190b07311d47083dfad |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.