Triple
T17336051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Restoration (1995 film) |
E420935
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Rupert Walters
Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
|
E1263305
|
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: Rupert Walters | Statement: [Restoration (1995 film), screenwriter, Rupert Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupert Walters Context triple: [Restoration (1995 film), screenwriter, Rupert Walters]
-
A.
Rupert Harvey
Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
-
B.
Rupert Thompson
Rupert Thompson was a benefactor whose contributions to Dartmouth College led to the university’s ice hockey arena being named in his honor.
-
C.
Rupert Falkner
Rupert Falkner is a fictional protagonist named Falkner who serves as the central figure in the narrative that bears his surname.
-
D.
Rupert Preston
Rupert Preston is a British film producer known for his work on independent and genre films, including the crime drama "Bronson."
-
E.
Rupert Young
Rupert Young is a British actor best known for his television and stage work, including roles in series like "Merlin" and various West End productions.
- 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: Rupert Walters Triple: [Restoration (1995 film), screenwriter, Rupert Walters]
Generated description
Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rupert Walters Target entity description: Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
-
A.
Rupert Harvey
Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
-
B.
Rupert Thompson
Rupert Thompson was a benefactor whose contributions to Dartmouth College led to the university’s ice hockey arena being named in his honor.
-
C.
Rupert Falkner
Rupert Falkner is a fictional protagonist named Falkner who serves as the central figure in the narrative that bears his surname.
-
D.
Rupert Preston
Rupert Preston is a British film producer known for his work on independent and genre films, including the crime drama "Bronson."
-
E.
Rupert Young
Rupert Young is a British actor best known for his television and stage work, including roles in series like "Merlin" and various West End productions.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a121aa081908a62fa59d3d28765 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5474788190936840effee2a8f5 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018d1601208190acd755618c6c939e |
completed | May 11, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e0400888190a4eb8fa418517ac5 |
completed | May 11, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:43 a.m.