Triple
T5921702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tor Project |
E131712
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Nick Mathewson
Nick Mathewson is a computer scientist and software developer best known as a co-founder and core architect of the Tor anonymity network.
|
E555943
|
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: Nick Mathewson | Statement: [The Tor Project, foundedBy, Nick Mathewson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Mathewson Context triple: [The Tor Project, foundedBy, Nick Mathewson]
-
A.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
B.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
C.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
D.
Dave Hoover
Dave Hoover is a software developer and author known for his work on agile practices and the book "Apprenticeship Patterns."
-
E.
Steve Wiener
Steve Wiener is a cinema industry executive best known as the founder of Cineworld Group, one of the largest cinema chains in the United Kingdom.
- 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: Nick Mathewson Triple: [The Tor Project, foundedBy, Nick Mathewson]
Generated description
Nick Mathewson is a computer scientist and software developer best known as a co-founder and core architect of the Tor anonymity network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Mathewson Target entity description: Nick Mathewson is a computer scientist and software developer best known as a co-founder and core architect of the Tor anonymity network.
-
A.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
B.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
C.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
D.
Dave Hoover
Dave Hoover is a software developer and author known for his work on agile practices and the book "Apprenticeship Patterns."
-
E.
Steve Wiener
Steve Wiener is a cinema industry executive best known as the founder of Cineworld Group, one of the largest cinema chains in the United Kingdom.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03802ff4081908589236ba5cd196d |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c041d4f08190863141b037b1c05f |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1db6d548190ba4be143aa7c7905 |
completed | March 23, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c2bdd44881909aa85589d31e771a |
completed | March 23, 2026, 4:34 a.m. |
Created at: March 22, 2026, 4 p.m.