Triple
T21027224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tully-Fisher relation distances |
E517969
|
entity |
| Predicate | systematicUncertaintiesInclude |
P128204
|
FINISHED |
| Object | Malmquist bias |
—
|
NE NERFINISHED |
How this triple was built (3 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: Malmquist bias | Statement: [Tully-Fisher relation distances, systematicUncertaintiesInclude, Malmquist bias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malmquist bias Context triple: [Tully-Fisher relation distances, systematicUncertaintiesInclude, Malmquist bias]
-
A.
Tolman surface brightness test
The Tolman surface brightness test is an observational cosmology method that checks whether the universe is expanding by examining how the surface brightness of distant galaxies diminishes with redshift.
-
B.
Observational selection effects and probability
"Observational selection effects and probability" is Nick Bostrom’s doctoral thesis, in which he develops a formal framework for understanding how observation bias and self-locating beliefs affect probabilistic reasoning in philosophy and science.
-
C.
“Sample Selection Bias as a Specification Error”
“Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
-
D.
Shapley Concentration
Shapley Concentration is one of the most massive known supercluster complexes of galaxies in the nearby universe, located in the constellation Centaurus.
-
E.
Argelander step method
The Argelander step method is a visual technique in variable star astronomy for estimating a star’s brightness by comparing it in small, systematic steps to nearby comparison stars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malmquist bias Target entity description: Malmquist bias is an observational selection effect in astronomy where brighter objects are preferentially detected, leading to systematically underestimated distances and distorted luminosity distributions in flux-limited samples.
-
A.
Tolman surface brightness test
The Tolman surface brightness test is an observational cosmology method that checks whether the universe is expanding by examining how the surface brightness of distant galaxies diminishes with redshift.
-
B.
Observational selection effects and probability
"Observational selection effects and probability" is Nick Bostrom’s doctoral thesis, in which he develops a formal framework for understanding how observation bias and self-locating beliefs affect probabilistic reasoning in philosophy and science.
-
C.
“Sample Selection Bias as a Specification Error”
“Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
-
D.
Shapley Concentration
Shapley Concentration is one of the most massive known supercluster complexes of galaxies in the nearby universe, located in the constellation Centaurus.
-
E.
Argelander step method
The Argelander step method is a visual technique in variable star astronomy for estimating a star’s brightness by comparing it in small, systematic steps to nearby comparison stars.
- F. None of above. chosen
Provenance (2 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7d93908190a2c29a4051fb5acc |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.