Triple
T14910939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukey's range test |
E371257
|
entity |
| Predicate | comparedWith |
P278
|
FINISHED |
| Object |
Bonferroni correction
The Bonferroni correction is a statistical method for controlling the family-wise error rate when performing multiple hypothesis tests by adjusting the significance threshold.
|
E1127489
|
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: Bonferroni correction | Statement: [Tukey's range test, comparedWith, Bonferroni correction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonferroni correction Context triple: [Tukey's range test, comparedWith, Bonferroni correction]
-
A.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
-
B.
Tukey's range test
Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
-
C.
Fisher's exact test
Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
-
D.
Kruskal–Wallis test
The Kruskal–Wallis test is a nonparametric statistical method used to determine whether there are statistically significant differences between the medians of three or more independent groups.
-
E.
Tukey's fences
Tukey's fences are a statistical rule-of-thumb method for identifying outliers in a data set using interquartile range–based cutoff points.
- 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: Bonferroni correction Triple: [Tukey's range test, comparedWith, Bonferroni correction]
Generated description
The Bonferroni correction is a statistical method for controlling the family-wise error rate when performing multiple hypothesis tests by adjusting the significance threshold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonferroni correction Target entity description: The Bonferroni correction is a statistical method for controlling the family-wise error rate when performing multiple hypothesis tests by adjusting the significance threshold.
-
A.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
-
B.
Tukey's range test
Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
-
C.
Fisher's exact test
Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
-
D.
Kruskal–Wallis test
The Kruskal–Wallis test is a nonparametric statistical method used to determine whether there are statistically significant differences between the medians of three or more independent groups.
-
E.
Tukey's fences
Tukey's fences are a statistical rule-of-thumb method for identifying outliers in a data set using interquartile range–based cutoff points.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bb366481909706d511f5ae1290 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe733a580c8190bc2f053188bb7145 |
completed | May 8, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe75ecce8c8190a879d8f908d9fb28 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 10, 2026, 2:26 a.m.