Triple
T10395180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Hall (TV series) |
E244990
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Kate Phillips
Kate Phillips is a British actress known for her roles in period dramas such as "Wolf Hall," "Peaky Blinders," and "The Crown."
|
E859548
|
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: Kate Phillips | Statement: [Wolf Hall (TV series), stars, Kate Phillips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Phillips Context triple: [Wolf Hall (TV series), stars, Kate Phillips]
-
A.
Kate Walter
Kate Walter is the daughter of acclaimed British actress and comedian Hermione Gingold.
-
B.
Laura Phillips
Laura Phillips is a screenwriter best known for co-writing the cult fantasy film "Labyrinth" starring David Bowie and Jennifer Connelly.
-
C.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
D.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
E.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
- 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: Kate Phillips Triple: [Wolf Hall (TV series), stars, Kate Phillips]
Generated description
Kate Phillips is a British actress known for her roles in period dramas such as "Wolf Hall," "Peaky Blinders," and "The Crown."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Phillips Target entity description: Kate Phillips is a British actress known for her roles in period dramas such as "Wolf Hall," "Peaky Blinders," and "The Crown."
-
A.
Kate Walter
Kate Walter is the daughter of acclaimed British actress and comedian Hermione Gingold.
-
B.
Laura Phillips
Laura Phillips is a screenwriter best known for co-writing the cult fantasy film "Labyrinth" starring David Bowie and Jennifer Connelly.
-
C.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
D.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
E.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9ce6bb08190bfeaba98a126526d |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c8271c81908a6b67822050c06d |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7975308648190af421c90bd1200b7 |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798e6721c81909647d27ce0aa615a |
completed | April 9, 2026, 12:17 p.m. |
Created at: April 6, 2026, 12:06 p.m.