Triple
T10471292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust Me |
E246927
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Cath Hardacre
Cath Hardacre is the central protagonist of the British medical drama series "Trust Me," a skilled nurse who assumes a false identity as a doctor to rebuild her life and career.
|
E873559
|
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: Cath Hardacre | Statement: [Trust Me, hasMainCharacter, Cath Hardacre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cath Hardacre Context triple: [Trust Me, hasMainCharacter, Cath Hardacre]
-
A.
Carol Vanstone
Carol Vanstone is a high-powered, no-nonsense CEO and the sister of a laid-back branch manager in the comedy film "Office Christmas Party."
-
B.
Carobeth Laird
Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
-
C.
Kate Hardie
Kate Hardie is a British actress and writer known for her work in independent films and television dramas.
-
D.
Philippa Cobb
Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
-
E.
Suzanne Surtees
Suzanne Surtees is the daughter of acclaimed American cinematographer Bruce Surtees.
- 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: Cath Hardacre Triple: [Trust Me, hasMainCharacter, Cath Hardacre]
Generated description
Cath Hardacre is the central protagonist of the British medical drama series "Trust Me," a skilled nurse who assumes a false identity as a doctor to rebuild her life and career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cath Hardacre Target entity description: Cath Hardacre is the central protagonist of the British medical drama series "Trust Me," a skilled nurse who assumes a false identity as a doctor to rebuild her life and career.
-
A.
Carol Vanstone
Carol Vanstone is a high-powered, no-nonsense CEO and the sister of a laid-back branch manager in the comedy film "Office Christmas Party."
-
B.
Carobeth Laird
Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
-
C.
Kate Hardie
Kate Hardie is a British actress and writer known for her work in independent films and television dramas.
-
D.
Philippa Cobb
Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
-
E.
Suzanne Surtees
Suzanne Surtees is the daughter of acclaimed American cinematographer Bruce Surtees.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e5749208190b37848f0945bd92d |
completed | April 10, 2026, 8:32 p.m. |
| NEDg | Description generation | batch_69d95f80d0c48190b88e3a4b3e42279c |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9602748608190b0c971accf44b7aa |
completed | April 10, 2026, 8:40 p.m. |
Created at: April 6, 2026, 12:20 p.m.