Triple
T16296859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SN 1961V |
E395668
|
entity |
| Predicate | lightCurveBehavior |
P122576
|
FINISHED |
| Object | slow rise to maximum |
—
|
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: slow rise to maximum | Statement: [SN 1961V, lightCurveBehavior, slow rise to maximum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightCurveBehavior Context triple: [SN 1961V, lightCurveBehavior, slow rise to maximum]
-
A.
lightcurveIndicates
Indicates that the characteristics or pattern of an object's light curve provide evidence for or reveal information about a particular property, state, or event associated with that object.
-
B.
lightcurveInterpretation
Indicates the inferred physical explanation or model derived from analyzing an object's observed light curve behavior.
-
C.
lightcurveAmplitude
Indicates the measured range of brightness variation of an object over time in its light curve.
-
D.
hasLightcurveMeasurements
Indicates that an entity has associated lightcurve measurements, representing recorded variations in its brightness over time.
-
E.
hasTransitLightCurve
Indicates that an object exhibits a measurable transit light curve, showing periodic dips in observed brightness due to another body passing in front of it.
- F. None of above. chosen
Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.