Triple
T8901614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Sargan |
E211941
|
entity |
| Predicate | hasTestNamedAfter |
P83998
|
FINISHED |
| Object | Sargan test |
E764596
|
NE FINISHED |
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: Sargan test | Statement: [Denis Sargan, hasTestNamedAfter, Sargan test]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sargan test Context triple: [Denis Sargan, hasTestNamedAfter, Sargan test]
-
A.
Sargan test
chosen
The Sargan test is a statistical test used in econometrics to assess the validity of instrumental variables by checking overidentifying restrictions in regression models.
-
B.
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.
-
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.
Mauchly
Mauchly is the surname of John W. Mauchly, the American physicist and co-inventor of the ENIAC, one of the earliest general-purpose electronic digital computers.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTestNamedAfter Context triple: [Denis Sargan, hasTestNamedAfter, Sargan test]
-
A.
hasTestNamedAfterHer
Indicates that a person is the namesake of a test, meaning a test is named in honor of or after her.
-
B.
hasMethodNamedAfter
chosen
Indicates that one entity possesses or defines a method whose name corresponds to, or is derived from, another specified entity.
-
C.
hasCollectionNamedAfter
Indicates that an entity has a collection (e.g., of works, items, or artifacts) that is named in honor of or after another entity.
-
D.
hasSymbolNamedAfter
Indicates that one entity has a symbol whose name is derived from or dedicated to another entity.
-
E.
hasWorkNamedAfter
Indicates that one entity has a work (such as a book, artwork, or composition) that is named after or titled with reference to another entity.
- F. None of above.
Provenance (4 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642a104081908df2d64e8f9ad0c8 |
completed | April 1, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba26bc7881908639e9a812dec894 |
completed | April 3, 2026, 1:01 p.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.