Triple
T4618502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M32 |
E100923
|
entity |
| Predicate | centralBlackHoleMass |
P20365
|
FINISHED |
| Object | about 2.5 million solar masses |
—
|
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 2.5 million solar masses | Statement: [M32, centralBlackHoleMass, about 2.5 million solar masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralBlackHoleMass Context triple: [M32, centralBlackHoleMass, about 2.5 million solar masses]
-
A.
massOfCentralBlackHole
chosen
Indicates the quantitative amount of mass possessed by the central black hole in a given system or context.
-
B.
centralBlackHoleName
Indicates the designated name assigned to a galaxy’s central black hole.
-
C.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
D.
roleInBlackHoles
Indicates the specific function, influence, or involvement an entity has in the formation, behavior, or study of black holes.
-
E.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.