Triple
T10167945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenVPN |
E235253
|
entity |
| Predicate | supportsEncryption |
P203
|
FINISHED |
| Object |
Blowfish
Blowfish is a symmetric-key block cipher designed by Bruce Schneier, known for its speed and simplicity, and widely used in various encryption applications.
|
E845867
|
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: Blowfish | Statement: [OpenVPN, supportsEncryption, Blowfish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blowfish Context triple: [OpenVPN, supportsEncryption, Blowfish]
-
A.
Firebird
Firebird is the fiery, mythical bird mascot representing Fremont High School in Sunnyvale, California, symbolizing resilience and school spirit.
-
B.
Firebird
Firebird is an open-source relational database management system known for its support of SQL and cross-platform deployment.
-
C.
Firebird
Firebird is a floorless steel roller coaster at Six Flags America known for its inversions and smooth, high-speed ride experience.
-
D.
Firebird
Firebird is a celebrated ballet role, famously performed by Maria Tallchief in Igor Stravinsky’s classic work "The Firebird."
-
E.
Swordfishtrombones
Swordfishtrombones is a critically acclaimed 1983 album by Tom Waits that marked his shift toward a more experimental, avant-garde sound.
- 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: Blowfish Triple: [OpenVPN, supportsEncryption, Blowfish]
Generated description
Blowfish is a symmetric-key block cipher designed by Bruce Schneier, known for its speed and simplicity, and widely used in various encryption applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blowfish Target entity description: Blowfish is a symmetric-key block cipher designed by Bruce Schneier, known for its speed and simplicity, and widely used in various encryption applications.
-
A.
Firebird
Firebird is the fiery, mythical bird mascot representing Fremont High School in Sunnyvale, California, symbolizing resilience and school spirit.
-
B.
Firebird
Firebird is an open-source relational database management system known for its support of SQL and cross-platform deployment.
-
C.
Firebird
Firebird is a floorless steel roller coaster at Six Flags America known for its inversions and smooth, high-speed ride experience.
-
D.
Firebird
Firebird is a celebrated ballet role, famously performed by Maria Tallchief in Igor Stravinsky’s classic work "The Firebird."
-
E.
Swordfishtrombones
Swordfishtrombones is a critically acclaimed 1983 album by Tom Waits that marked his shift toward a more experimental, avant-garde sound.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d30255c7408190a56764f3d3f36ee2 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30343f4b081909eb80c772f6847bd |
completed | April 6, 2026, 12:50 a.m. |
Created at: March 30, 2026, 9:10 p.m.