Triple
T15315634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William and Mary |
E366148
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Dominic Minghella
Dominic Minghella is a British television producer and screenwriter best known for creating the medical comedy-drama series "Doc Martin."
|
E246859
|
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: Dominic Minghella | Statement: [William and Mary, producer, Dominic Minghella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominic Minghella Context triple: [William and Mary, producer, Dominic Minghella]
-
A.
Minghella
Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
-
B.
Roy D'Arcy
Roy D'Arcy was an American character actor of the silent and early sound film era, best known for playing suave, often villainous roles in 1920s Hollywood productions.
-
C.
Adrian Nolan
Adrian Nolan is a sibling of British novelist Christopher Nolan.
-
D.
Sacha Puttnam
Sacha Puttnam is a British composer and musician known for his film scores and orchestral arrangements.
-
E.
Dominic Mafham
Dominic Mafham is a British actor known for his work in television, film, and theatre, including roles in series such as "The Fragile Heart" and "Land Girls."
- 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: Dominic Minghella Triple: [William and Mary, producer, Dominic Minghella]
Generated description
Dominic Minghella is a British television producer and screenwriter best known for creating the medical comedy-drama series "Doc Martin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dominic Minghella Target entity description: Dominic Minghella is a British television producer and screenwriter best known for creating the medical comedy-drama series "Doc Martin."
-
A.
Minghella
chosen
Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
-
B.
Roy D'Arcy
Roy D'Arcy was an American character actor of the silent and early sound film era, best known for playing suave, often villainous roles in 1920s Hollywood productions.
-
C.
Adrian Nolan
Adrian Nolan is a sibling of British novelist Christopher Nolan.
-
D.
Sacha Puttnam
Sacha Puttnam is a British composer and musician known for his film scores and orchestral arrangements.
-
E.
Dominic Mafham
Dominic Mafham is a British actor known for his work in television, film, and theatre, including roles in series such as "The Fragile Heart" and "Land Girls."
- F. None of above.
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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd1d384819098f38402a8740d91 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a688a48190848eb7f065aba146 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9cf76cc8190898ea1e648da18ed |
completed | May 9, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefab2d4cc8190acaa4b6341224633 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.