Triple
T5513077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Zay |
E144612
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object |
MPI
MPI (Message Passing Interface) is a standardized and portable communication protocol widely used for parallel programming in high-performance computing environments.
|
E528468
|
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: MPI | Statement: [Jean Zay, supports, MPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPI Context triple: [Jean Zay, supports, MPI]
-
A.
MPI
MPI is a global measure that assesses poverty by considering multiple deprivations in areas such as health, education, and living standards rather than income alone.
-
B.
OMPS
OMPS (Ozone Mapping and Profiler Suite) is a satellite-based instrument system designed to measure global ozone distribution and monitor atmospheric ozone layer changes from orbit.
-
C.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
D.
Intel Threading Building Blocks
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
E.
Open Multi-Processing
Open Multi-Processing is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
- 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: MPI Triple: [Jean Zay, supports, MPI]
Generated description
MPI (Message Passing Interface) is a standardized and portable communication protocol widely used for parallel programming in high-performance computing environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MPI Target entity description: MPI (Message Passing Interface) is a standardized and portable communication protocol widely used for parallel programming in high-performance computing environments.
-
A.
MPI
MPI is a global measure that assesses poverty by considering multiple deprivations in areas such as health, education, and living standards rather than income alone.
-
B.
OMPS
OMPS (Ozone Mapping and Profiler Suite) is a satellite-based instrument system designed to measure global ozone distribution and monitor atmospheric ozone layer changes from orbit.
-
C.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
D.
Intel Threading Building Blocks
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
E.
Open Multi-Processing
Open Multi-Processing is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f599d0881909ce86fcc45d4d920 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d192808190b1e80a6f3be44870 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c033dc91e08190888fb6e94027fbdb |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03460b21481908b78aa4bdc989d2c |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.