Triple
T14911145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukey's honestly significant difference test |
E371261
|
entity |
| Predicate | implementedIn |
P2539
|
FINISHED |
| Object |
SAS
SAS is a widely used statistical software suite for advanced analytics, data management, and predictive modeling in research and industry.
|
E5277
|
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: SAS | Statement: [Tukey's honestly significant difference test, implementedIn, SAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAS Context triple: [Tukey's honestly significant difference test, implementedIn, SAS]
-
A.
SAS
SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
-
B.
SAS
SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
-
C.
SAS
SAS is a major Scandinavian airline group that provides passenger and cargo air transport services primarily across Europe and to intercontinental destinations.
-
D.
SAS
SAS is the common abbreviation for the San Antonio Silver Stars, a former Women’s National Basketball Association (WNBA) team based in San Antonio, Texas.
-
E.
SAS
SAS is the standard abbreviation used for the Canadian Football League team Saskatchewan Roughriders.
- 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: SAS Triple: [Tukey's honestly significant difference test, implementedIn, SAS]
Generated description
SAS is a widely used statistical software suite for advanced analytics, data management, and predictive modeling in research and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAS Target entity description: SAS is a widely used statistical software suite for advanced analytics, data management, and predictive modeling in research and industry.
-
A.
SAS
chosen
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
-
B.
SAS
SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
-
C.
SAS
SAS is a major Scandinavian airline group that provides passenger and cargo air transport services primarily across Europe and to intercontinental destinations.
-
D.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
E.
SAS
SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
- F. None of above.
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_69fe7e86ce888190b03056db39438701 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f6df97c8190a29013abcf37aa40 |
completed | May 9, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe802ce7108190b4c1e46be0c0fbd5 |
completed | May 9, 2026, 12:30 a.m. |
Created at: April 10, 2026, 2:26 a.m.