Triple
T10367376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strike Back |
E244289
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Rhona Mitra
Rhona Mitra is a British actress and model known for her roles in action and science fiction films and television series.
|
E860606
|
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: Rhona Mitra | Statement: [Strike Back, stars, Rhona Mitra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhona Mitra Context triple: [Strike Back, stars, Rhona Mitra]
-
A.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
-
B.
Sheila Kahn
Sheila Kahn is a member of the Kahn family, related to renowned American value investor Irving Kahn.
-
C.
Monica Loughman
Monica Loughman is an Irish-based ballerina and ballet teacher known for her work in promoting and developing classical ballet in Ireland.
-
D.
Shona Robison
Shona Robison is a Scottish National Party politician who has held several senior roles in the Scottish Government, including serving as Deputy First Minister of Scotland.
-
E.
Lorna Luft
Lorna Luft is an American singer, actress, and author, best known for her work on stage and screen and for being part of the legendary Garland entertainment family.
- 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: Rhona Mitra Triple: [Strike Back, stars, Rhona Mitra]
Generated description
Rhona Mitra is a British actress and model known for her roles in action and science fiction films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rhona Mitra Target entity description: Rhona Mitra is a British actress and model known for her roles in action and science fiction films and television series.
-
A.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
-
B.
Sheila Kahn
Sheila Kahn is a member of the Kahn family, related to renowned American value investor Irving Kahn.
-
C.
Monica Loughman
Monica Loughman is an Irish-based ballerina and ballet teacher known for her work in promoting and developing classical ballet in Ireland.
-
D.
Shona Robison
Shona Robison is a Scottish National Party politician who has held several senior roles in the Scottish Government, including serving as Deputy First Minister of Scotland.
-
E.
Lorna Luft
Lorna Luft is an American singer, actress, and author, best known for her work on stage and screen and for being part of the legendary Garland entertainment family.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96fd6f081908f630a16106996d9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79546b078819089dec7628c95a681 |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, noon