Triple
T16296857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SN 1961V |
E395668
|
entity |
| Predicate | progenitorMassEstimate |
P7301
|
FINISHED |
| Object | > 50 solar masses (approximate) |
—
|
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: > 50 solar masses (approximate) | Statement: [SN 1961V, progenitorMassEstimate, > 50 solar masses (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: progenitorMassEstimate Context triple: [SN 1961V, progenitorMassEstimate, > 50 solar masses (approximate)]
-
A.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
B.
approximateMass
chosen
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
C.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
D.
starFormationRate
Indicates the rate at which new stars are being formed within a given astronomical region or object over time.
-
E.
dynamicalMass_solarMasses
Indicates the dynamical mass of an object or system expressed in units of the Sun’s mass.
- 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_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. |
Created at: April 10, 2026, 5:06 a.m.