Triple
T22412853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GK Persei |
E554034
|
entity |
| Predicate | spectralTypeCompanion |
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: [GK Persei, spectralTypeCompanion, K2IV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralTypeCompanion Context triple: [GK Persei, spectralTypeCompanion, K2IV]
-
A.
spectralTypeOfCompanion
chosen
Indicates the spectral classification assigned to a companion object in a system, describing the type of its electromagnetic spectrum.
-
B.
spectralClass
Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
-
C.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
D.
spectralTypeOfIonizingStar
Indicates the spectral classification assigned to the star that provides the ionizing radiation.
-
E.
hasSpectroscopicBinaryType
Indicates that an entity is classified as a spectroscopic binary of a specific type, based on characteristics observed in its spectrum.
- 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.