Triple
T7142274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsin Greig |
E166473
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Dr Caroline Todd
Dr Caroline Todd is the socially awkward, accident-prone junior doctor protagonist in the British medical sitcom "Green Wing."
|
E643510
|
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: Dr Caroline Todd | Statement: [Tamsin Greig, playedCharacter, Dr Caroline Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr Caroline Todd Context triple: [Tamsin Greig, playedCharacter, Dr Caroline Todd]
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Caroline Milmoe
Caroline Milmoe is a British actress known for her work in film and television, particularly in the 1980s and 1990s.
-
C.
Dr. Claire Finn
Dr. Claire Finn is a skilled physician and senior medical officer aboard the exploratory spaceship USS Orville in the science-fiction comedy-drama series "The Orville."
-
D.
Dr. Holly Goodhead
Dr. Holly Goodhead is a NASA-trained astronaut and undercover CIA agent who serves as James Bond’s resourceful ally and love interest in the film "Moonraker."
-
E.
Philippa Giles
Philippa Giles is a British television producer best known for her work on acclaimed drama series such as Luther.
- 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: Dr Caroline Todd Triple: [Tamsin Greig, playedCharacter, Dr Caroline Todd]
Generated description
Dr Caroline Todd is the socially awkward, accident-prone junior doctor protagonist in the British medical sitcom "Green Wing."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dr Caroline Todd Target entity description: Dr Caroline Todd is the socially awkward, accident-prone junior doctor protagonist in the British medical sitcom "Green Wing."
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Caroline Milmoe
Caroline Milmoe is a British actress known for her work in film and television, particularly in the 1980s and 1990s.
-
C.
Dr. Claire Finn
Dr. Claire Finn is a skilled physician and senior medical officer aboard the exploratory spaceship USS Orville in the science-fiction comedy-drama series "The Orville."
-
D.
Dr. Holly Goodhead
Dr. Holly Goodhead is a NASA-trained astronaut and undercover CIA agent who serves as James Bond’s resourceful ally and love interest in the film "Moonraker."
-
E.
Philippa Giles
Philippa Giles is a British television producer best known for her work on acclaimed drama series such as Luther.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e779ace48190be9c33750e60a79e |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3502ed88190ac378a93891c8d9e |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a45f7da0819095d21179a79b265d |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4f141388190a774d37149b8b202 |
completed | March 28, 2026, 9:52 a.m. |
Created at: March 27, 2026, 2:45 p.m.