Triple
T5903340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airy disk |
E131279
|
entity |
| Predicate | isIdealizationOf |
P51621
|
FINISHED |
| Object | real point spread function of circular aperture |
—
|
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: real point spread function of circular aperture | Statement: [Airy disk, isIdealizationOf, real point spread function of circular aperture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIdealizationOf Context triple: [Airy disk, isIdealizationOf, real point spread function of circular aperture]
-
A.
hasIdealization
chosen
Indicates that one entity is a simplified, abstracted, or ideal form or model of another entity, capturing its essential features while omitting complexities.
-
B.
generalizationOf
Indicates that one entity represents a broader, more general concept or category that subsumes or abstracts over another, more specific entity.
-
C.
isModelOf
Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of another entity.
-
D.
isImprintOf
Indicates that one entity is a specific edition, printing, or imprint derived from another bibliographic entity.
-
E.
protégéOf
Indicates that one entity is mentored, trained, or guided in their development by another, more experienced 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.