Triple
T3016473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enola Holmes |
E82347
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Susan Wokoma
Susan Wokoma is a British actress and writer known for her comedic and dramatic roles in film, television, and theatre, including prominent performances in series like "Chewing Gum" and "Crazyhead."
|
E318173
|
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: Susan Wokoma | Statement: [Enola Holmes, castMember, Susan Wokoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Wokoma Context triple: [Enola Holmes, castMember, Susan Wokoma]
-
A.
Sonia Copeland
Sonia Copeland is the mother of English actor Orlando Bloom.
-
B.
Vivienne Faull
Vivienne Faull is a senior Church of England bishop who has held prominent leadership roles, including serving as the diocesan bishop in Bristol.
-
C.
Deborah Hitchborn
Deborah Hitchborn was a colonial-era Bostonian and the mother of American patriot and silversmith Paul Revere.
-
D.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
E.
Krysty Wilson-Cairns
Krysty Wilson-Cairns is a Scottish screenwriter known for co-writing the acclaimed World War I film "1917" and working on various high-profile film and television projects.
- 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: Susan Wokoma Triple: [Enola Holmes, castMember, Susan Wokoma]
Generated description
Susan Wokoma is a British actress and writer known for her comedic and dramatic roles in film, television, and theatre, including prominent performances in series like "Chewing Gum" and "Crazyhead."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Wokoma Target entity description: Susan Wokoma is a British actress and writer known for her comedic and dramatic roles in film, television, and theatre, including prominent performances in series like "Chewing Gum" and "Crazyhead."
-
A.
Sonia Copeland
Sonia Copeland is the mother of English actor Orlando Bloom.
-
B.
Vivienne Faull
Vivienne Faull is a senior Church of England bishop who has held prominent leadership roles, including serving as the diocesan bishop in Bristol.
-
C.
Deborah Hitchborn
Deborah Hitchborn was a colonial-era Bostonian and the mother of American patriot and silversmith Paul Revere.
-
D.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
E.
Krysty Wilson-Cairns
Krysty Wilson-Cairns is a Scottish screenwriter known for co-writing the acclaimed World War I film "1917" and working on various high-profile film and television projects.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6eac1481909d56844e53c37b59 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12f26a8d08190be6023fb7e3ddee9 |
completed | March 11, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb268d9881908766e50524b208cc |
completed | March 11, 2026, 8:05 p.m. |
Created at: March 8, 2026, 3 p.m.