Triple
T671624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torchwood |
E12982
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Eve Myles
Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
|
E84831
|
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: Eve Myles | Statement: [Torchwood, stars, Eve Myles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eve Myles Context triple: [Torchwood, stars, Eve Myles]
-
A.
Michelle Gomez
Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
-
B.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
C.
Romola Garai
Romola Garai is an English actress known for her performances in period dramas and literary adaptations in film and television.
-
D.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
E.
Anne-Marie Duff
Anne-Marie Duff is an acclaimed English actress known for her powerful performances in television dramas such as "Shameless" and "The Virgin Queen," as well as in film and theatre.
- 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: Eve Myles Triple: [Torchwood, stars, Eve Myles]
Generated description
Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eve Myles Target entity description: Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
-
A.
Michelle Gomez
Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
-
B.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
C.
Romola Garai
Romola Garai is an English actress known for her performances in period dramas and literary adaptations in film and television.
-
D.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
E.
Anne-Marie Duff
Anne-Marie Duff is an acclaimed English actress known for her powerful performances in television dramas such as "Shameless" and "The Virgin Queen," as well as in film and theatre.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a021b908819086f7cfe65def4728 |
completed | March 1, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc9d81c88190a2a722370a7fd658 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5ddd611ac8190b054d3de8695d608 |
completed | March 2, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6080bc9b8819081d21a25baf40e85 |
completed | March 2, 2026, 9:58 p.m. |
Created at: March 1, 2026, 7:36 p.m.