Triple
T3086038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Portsmouth |
E64374
|
entity |
| Predicate | signatoryRepresentative |
P4489
|
FINISHED |
| Object |
Roman Rosen
Roman Rosen was a Russian diplomat who served as a key representative for the Russian Empire during the negotiations that ended the Russo-Japanese War.
|
E324766
|
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: Roman Rosen | Statement: [Treaty of Portsmouth, signatoryRepresentative, Roman Rosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roman Rosen Context triple: [Treaty of Portsmouth, signatoryRepresentative, Roman Rosen]
-
A.
Jack Roth
Jack Roth is a British actor known for his roles in film and television, and is the son of acclaimed actor Tim Roth.
-
B.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
C.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Howard Roseman
Howard Roseman is an American football executive best known as the longtime general manager and key roster architect of the NFL’s Philadelphia Eagles.
- 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: Roman Rosen Triple: [Treaty of Portsmouth, signatoryRepresentative, Roman Rosen]
Generated description
Roman Rosen was a Russian diplomat who served as a key representative for the Russian Empire during the negotiations that ended the Russo-Japanese War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roman Rosen Target entity description: Roman Rosen was a Russian diplomat who served as a key representative for the Russian Empire during the negotiations that ended the Russo-Japanese War.
-
A.
Jack Roth
Jack Roth is a British actor known for his roles in film and television, and is the son of acclaimed actor Tim Roth.
-
B.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
C.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Howard Roseman
Howard Roseman is an American football executive best known as the longtime general manager and key roster architect of the NFL’s Philadelphia Eagles.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1eac5548190bee60ea8262c65a8 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89e6f5c8190993794e2c9977ee6 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f93d5b208190835093f453fd33ab |
completed | March 11, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9ea9b908190a86e2b79a89e0283 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.