Triple

T14911135
Position Surface form Disambiguated ID Type / Status
Subject Tukey's honestly significant difference test E371261 entity
Predicate relatedTo P37 FINISHED
Object Fisher's LSD test
Fisher's LSD test is a multiple comparison procedure in statistics that uses pairwise t-tests following an ANOVA to identify which group means differ, without adjusting as strictly for familywise error as methods like Tukey's HSD.
E1127496 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: Fisher's LSD test | Statement: [Tukey's honestly significant difference test, relatedTo, Fisher's LSD test]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fisher's LSD test
Context triple: [Tukey's honestly significant difference test, relatedTo, Fisher's LSD test]
  • A. 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.
  • B. 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.
  • C. F-test
    The F-test is a statistical hypothesis test used to compare variances and assess the overall significance of models, especially in analysis of variance (ANOVA) and regression.
  • 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. Wald test
    The Wald test is a statistical hypothesis test used to assess the significance of individual coefficients or parameters in a model, particularly in regression and maximum likelihood estimation.
  • 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: Fisher's LSD test
Triple: [Tukey's honestly significant difference test, relatedTo, Fisher's LSD test]
Generated description
Fisher's LSD test is a multiple comparison procedure in statistics that uses pairwise t-tests following an ANOVA to identify which group means differ, without adjusting as strictly for familywise error as methods like Tukey's HSD.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fisher's LSD test
Target entity description: Fisher's LSD test is a multiple comparison procedure in statistics that uses pairwise t-tests following an ANOVA to identify which group means differ, without adjusting as strictly for familywise error as methods like Tukey's HSD.
  • A. 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.
  • B. 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.
  • C. F-test
    The F-test is a statistical hypothesis test used to compare variances and assess the overall significance of models, especially in analysis of variance (ANOVA) and regression.
  • 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. Wald test
    The Wald test is a statistical hypothesis test used to assess the significance of individual coefficients or parameters in a model, particularly in regression and maximum likelihood estimation.
  • 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.