Triple
T1778913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Roth |
E39243
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
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.
|
E287995
|
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: Jack Roth | Statement: [Tim Roth, hasChild, Jack Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Roth Context triple: [Tim Roth, hasChild, Jack Roth]
-
A.
Jack Rabinovitch
Jack Rabinovitch was a Canadian businessman and philanthropist best known for creating one of Canada’s most prestigious literary awards, the Giller Prize.
-
B.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
C.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
D.
Michael Rosenberg
Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
-
E.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
- 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: Jack Roth Triple: [Tim Roth, hasChild, Jack Roth]
Generated description
Jack Roth is a British actor known for his roles in film and television, and is the son of acclaimed actor Tim Roth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Roth Target entity description: Jack Roth is a British actor known for his roles in film and television, and is the son of acclaimed actor Tim Roth.
-
A.
Jack Rabinovitch
Jack Rabinovitch was a Canadian businessman and philanthropist best known for creating one of Canada’s most prestigious literary awards, the Giller Prize.
-
B.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
C.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
D.
Michael Rosenberg
Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
-
E.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64ba92a48190b69da748dfbfc53c |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa037c1d4819088d057bb2f0ee2bd |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa0fef4c481908db42628cd6e72fe |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1fc3884819094503650206ec788 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 4, 2026, 7:31 p.m.