Triple
T22412697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beta Persei |
E554031
|
entity |
| Predicate | hasSpectralTypeOfSecondary |
P41866
|
FINISHED |
| Object | K2IV |
—
|
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: K2IV | Statement: [Beta Persei, hasSpectralTypeOfSecondary, K2IV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectralTypeOfSecondary Context triple: [Beta Persei, hasSpectralTypeOfSecondary, K2IV]
-
A.
spectralTypeOfCompanion
chosen
Indicates the spectral classification assigned to a companion object in a system, describing the type of its electromagnetic spectrum.
-
B.
hasSpectroscopicBinaryType
Indicates that an entity is classified as a spectroscopic binary of a specific type, based on characteristics observed in its spectrum.
-
C.
hasSecondBrightestStar
Indicates that one entity possesses or is associated with another entity that is the second most luminous star within a specified group or system.
-
D.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
E.
hasStellarSpectrum
Indicates that an astronomical object exhibits a particular stellar spectrum characterizing its emitted light across wavelengths.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594496348190ba25dc0193d092f2 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.