Triple

T21027224
Position Surface form Disambiguated ID Type / Status
Subject Tully-Fisher relation distances E517969 entity
Predicate systematicUncertaintiesInclude P128204 FINISHED
Object Malmquist bias
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.
E1463463 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malmquist bias
Triple: [Tully-Fisher relation distances, systematicUncertaintiesInclude, Malmquist bias]
Generated 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.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a094743553c81908a029cdfe9376bbd completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a0947d293588190a235ff9713b7630f completed May 17, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0948839fd481909a68a1e7105d9b72 completed May 17, 2026, 4:48 a.m.
Created at: April 16, 2026, 1:55 p.m.