Triple
T22430555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S Monocerotis |
E554485
|
entity |
| Predicate | hasMinimumBrightness |
P84417
|
FINISHED |
| Object | about magnitude 4.7 |
—
|
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: about magnitude 4.7 | Statement: [S Monocerotis, hasMinimumBrightness, about magnitude 4.7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimumBrightness Context triple: [S Monocerotis, hasMinimumBrightness, about magnitude 4.7]
-
A.
hasVariableBrightness
Indicates that the brightness of an entity is not constant but changes over time or under different conditions.
-
B.
maximumBrightness
Indicates the highest level of brightness that an entity can reach or exhibit.
-
C.
sustainedFullScreenBrightness
Indicates that an entity maintains maximum screen brightness continuously for a period of time.
-
D.
hasMinimum
chosen
Indicates that an entity possesses at least a specified lower bound or smallest allowable value, quantity, or level in relation to another entity or constraint.
-
E.
hasLumen
Indicates that one entity possesses or is characterized by a specific luminous intensity or light output measured in lumens.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.