Triple
T3292298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slow Horses |
E69128
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Saskia Reeves |
E213971
|
NE FINISHED |
How this triple was built (2 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: Saskia Reeves | Statement: [Slow Horses, stars, Saskia Reeves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saskia Reeves Context triple: [Slow Horses, stars, Saskia Reeves]
-
A.
Saskia Reeves
chosen
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
-
B.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
C.
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.
-
D.
Miranda Otto
Miranda Otto is an Australian actress best known for playing Éowyn in Peter Jackson’s The Lord of the Rings film trilogy.
-
E.
Romola Garai
Romola Garai is an English actress known for her performances in period dramas and literary adaptations in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07379dc8190b7bb409bcf42bdd6 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402bcf7ec8190a7f0b7c0cc45e2f8 |
completed | March 13, 2026, 12:27 p.m. |
Created at: March 8, 2026, 3:10 p.m.