Triple
T18523788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Reiser |
E452660
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
UPX
UPX is a popular open-source executable packer and compressor used to reduce the size of programs across multiple platforms.
|
E82617
|
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: UPX | Statement: [John Reiser, notableWork, UPX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPX Context triple: [John Reiser, notableWork, UPX]
-
A.
UPX
UPX is an executable packer and compressor commonly used to reduce the size of binary programs.
-
B.
UPX
UPX is a dedicated airport rail link in the Greater Toronto Area that connects Union Station in downtown Toronto with Toronto Pearson International Airport.
-
C.
7zip
7zip is a high-compression open-source archive format commonly used for efficiently packaging and reducing the size of files.
-
D.
Engrampa archive manager
Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
-
E.
ustar
ustar is the standardized POSIX variant of the tar archive format, designed to ensure consistent file archiving and portability across Unix-like systems.
- 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: UPX Triple: [John Reiser, notableWork, UPX]
Generated description
UPX is a popular open-source executable packer and compressor used to reduce the size of programs across multiple platforms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UPX Target entity description: UPX is a popular open-source executable packer and compressor used to reduce the size of programs across multiple platforms.
-
A.
UPX
chosen
UPX is an executable packer and compressor commonly used to reduce the size of binary programs.
-
B.
UPX
UPX is a dedicated airport rail link in the Greater Toronto Area that connects Union Station in downtown Toronto with Toronto Pearson International Airport.
-
C.
7zip
7zip is a high-compression open-source archive format commonly used for efficiently packaging and reducing the size of files.
-
D.
Engrampa archive manager
Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
-
E.
ustar
ustar is the standardized POSIX variant of the tar archive format, designed to ensure consistent file archiving and portability across Unix-like systems.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad34a648190b551ef7e93cf0d22 |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a04a0f470ac8190a0a8561bf1b288df |
completed | May 13, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04a1cce5cc8190b75dbc17354bde5a |
completed | May 13, 2026, 4:07 p.m. |
Created at: April 10, 2026, 11:37 a.m.