Triple
T8396950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexei Starobinsky |
E198075
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
R-squared inflation
R-squared inflation is a cosmological model of the early universe in which a quadratic term in the curvature of spacetime drives a period of accelerated expansion, providing one of the first successful theories of cosmic inflation.
|
E730536
|
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: R-squared inflation | Statement: [Alexei Starobinsky, knownFor, R-squared inflation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R-squared inflation Context triple: [Alexei Starobinsky, knownFor, R-squared inflation]
-
A.
Frisch–Waugh–Lovell theorem
The Frisch–Waugh–Lovell theorem is a fundamental result in econometrics that shows how the coefficients of a multiple linear regression can be obtained by first partialling out (regressing out) other explanatory variables.
-
B.
Spearman–Brown prophecy formula
The Spearman–Brown prophecy formula is a psychometric equation used to predict how changes in test length will affect the reliability of a measurement instrument.
-
C.
Hotelling’s T-squared distribution
Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
-
D.
Taxidea
Taxidea is a genus of mustelid mammals best known for the American badger, a burrowing carnivore native to North America.
-
E.
Spearman rank-order correlation coefficient
The Spearman rank-order correlation coefficient is a nonparametric statistical measure that assesses the strength and direction of a monotonic relationship between two ranked variables.
- 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: R-squared inflation Triple: [Alexei Starobinsky, knownFor, R-squared inflation]
Generated description
R-squared inflation is a cosmological model of the early universe in which a quadratic term in the curvature of spacetime drives a period of accelerated expansion, providing one of the first successful theories of cosmic inflation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R-squared inflation Target entity description: R-squared inflation is a cosmological model of the early universe in which a quadratic term in the curvature of spacetime drives a period of accelerated expansion, providing one of the first successful theories of cosmic inflation.
-
A.
Frisch–Waugh–Lovell theorem
The Frisch–Waugh–Lovell theorem is a fundamental result in econometrics that shows how the coefficients of a multiple linear regression can be obtained by first partialling out (regressing out) other explanatory variables.
-
B.
Spearman–Brown prophecy formula
The Spearman–Brown prophecy formula is a psychometric equation used to predict how changes in test length will affect the reliability of a measurement instrument.
-
C.
Hotelling’s T-squared distribution
Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
-
D.
Taxidea
Taxidea is a genus of mustelid mammals best known for the American badger, a burrowing carnivore native to North America.
-
E.
Spearman rank-order correlation coefficient
The Spearman rank-order correlation coefficient is a nonparametric statistical measure that assesses the strength and direction of a monotonic relationship between two ranked variables.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde867d21c8190b066a6c88273ec5a |
completed | April 2, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69cdebfd60188190a1681344e2bf1e9e |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2fa42c8190bfbfc79caf38bf8e |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:04 p.m.