Triple
T11036967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: The Movie |
E260910
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Matthew Jacobs
Matthew Jacobs is a British screenwriter and producer best known for scripting the 1996 television film "Doctor Who: The Movie."
|
E902672
|
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: Matthew Jacobs | Statement: [Doctor Who: The Movie, writer, Matthew Jacobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Jacobs Context triple: [Doctor Who: The Movie, writer, Matthew Jacobs]
-
A.
Jeremy Jacobs
Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
-
B.
Jeff Jacobs
Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Mark Jacobs
Mark Jacobs is an American local politician who has served as the mayor of Garden City, Michigan.
-
E.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
- 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: Matthew Jacobs Triple: [Doctor Who: The Movie, writer, Matthew Jacobs]
Generated description
Matthew Jacobs is a British screenwriter and producer best known for scripting the 1996 television film "Doctor Who: The Movie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Jacobs Target entity description: Matthew Jacobs is a British screenwriter and producer best known for scripting the 1996 television film "Doctor Who: The Movie."
-
A.
Jeremy Jacobs
Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
-
B.
Jeff Jacobs
Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Mark Jacobs
Mark Jacobs is an American local politician who has served as the mayor of Garden City, Michigan.
-
E.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8372fac81908c68219b89ba45c1 |
completed | April 18, 2026, 6:06 p.m. |
| NEDg | Description generation | batch_69e3cefc00148190a1850dc6e31523c3 |
completed | April 18, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3d014a644819092c76aa02b573ca9 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 8, 2026, 9:25 p.m.