Triple
T9312328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | libsodium |
E224033
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Frank Denis
Frank Denis is a software engineer and security expert best known for creating the libsodium cryptographic library.
|
E792094
|
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: Frank Denis | Statement: [libsodium, creator, Frank Denis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Denis Context triple: [libsodium, creator, Frank Denis]
-
A.
Denis Paul
Denis Paul was a scholar and editor known for his work on Ludwig Wittgenstein’s posthumously published philosophical writings.
-
B.
Fred Forbat
Fred Forbat was a Hungarian-born modernist architect and urban planner associated with the Bauhaus movement and influential European social housing projects.
-
C.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
D.
Jack Denison
Jack Denison was an American nightclub owner and restaurateur best known as the second husband of actress and singer Dorothy Dandridge.
-
E.
Eugene Roche
Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
- 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: Frank Denis Triple: [libsodium, creator, Frank Denis]
Generated description
Frank Denis is a software engineer and security expert best known for creating the libsodium cryptographic library.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Denis Target entity description: Frank Denis is a software engineer and security expert best known for creating the libsodium cryptographic library.
-
A.
Denis Paul
Denis Paul was a scholar and editor known for his work on Ludwig Wittgenstein’s posthumously published philosophical writings.
-
B.
Fred Forbat
Fred Forbat was a Hungarian-born modernist architect and urban planner associated with the Bauhaus movement and influential European social housing projects.
-
C.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
D.
Jack Denison
Jack Denison was an American nightclub owner and restaurateur best known as the second husband of actress and singer Dorothy Dandridge.
-
E.
Eugene Roche
Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20ae96e481909a1af9ea1c91f2b2 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c797640c8190be003e321faf3b86 |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0cb9605608190b0c5f7149b2194a9 |
completed | April 4, 2026, 8:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cd0028048190a94cd7e8971f8940 |
completed | April 4, 2026, 8:34 a.m. |
Created at: March 30, 2026, 7:37 p.m.