Triple
T14253797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimensions in Time |
E353334
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
David Roden
David Roden is a British television writer best known for his work on the Doctor Who charity special "Dimensions in Time."
|
E1116601
|
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: David Roden | Statement: [Dimensions in Time, writer, David Roden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Roden Context triple: [Dimensions in Time, writer, David Roden]
-
A.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Andrew Pyle
Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
-
C.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
D.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
E.
David James Elliott
David James Elliott is a Canadian actor best known for his leading role as Navy lawyer Harmon Rabb Jr. on the television series JAG.
- 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: David Roden Triple: [Dimensions in Time, writer, David Roden]
Generated description
David Roden is a British television writer best known for his work on the Doctor Who charity special "Dimensions in Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Roden Target entity description: David Roden is a British television writer best known for his work on the Doctor Who charity special "Dimensions in Time."
-
A.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Andrew Pyle
Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
-
C.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
D.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
E.
David James Elliott
David James Elliott is a Canadian actor best known for his leading role as Navy lawyer Harmon Rabb Jr. on the television series JAG.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb73334c8190a96a92d199c3b101 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfd9389848190a9f5c29aa94f0c0e |
completed | May 8, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfe2af2248190a0d0096d8039a591 |
completed | May 8, 2026, 3:15 p.m. |
Created at: April 10, 2026, 1:09 a.m.