Triple
T7860112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jemima Kirke |
E182472
|
entity |
| Predicate | characterPlayed |
P1507
|
FINISHED |
| Object |
Hope Haddon
Hope Haddon is a character from the television series "Sex Education," portrayed as a strict and conservative headmistress who clashes with the show's more progressive students and staff.
|
E708155
|
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: Hope Haddon | Statement: [Jemima Kirke, characterPlayed, Hope Haddon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hope Haddon Context triple: [Jemima Kirke, characterPlayed, Hope Haddon]
-
A.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
B.
Hattie Maloney
Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
-
C.
Anne Ashmond
Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
-
D.
Beth Kittridge
Beth Kittridge is a fictional character portrayed by Canadian actress Torri Higginson, known from her work in television and film.
-
E.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
- 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: Hope Haddon Triple: [Jemima Kirke, characterPlayed, Hope Haddon]
Generated description
Hope Haddon is a character from the television series "Sex Education," portrayed as a strict and conservative headmistress who clashes with the show's more progressive students and staff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hope Haddon Target entity description: Hope Haddon is a character from the television series "Sex Education," portrayed as a strict and conservative headmistress who clashes with the show's more progressive students and staff.
-
A.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
B.
Hattie Maloney
Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
-
C.
Anne Ashmond
Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
-
D.
Beth Kittridge
Beth Kittridge is a fictional character portrayed by Canadian actress Torri Higginson, known from her work in television and film.
-
E.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bb6ca4819098bc00739e07cfc8 |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc560e96f0819080031a1a3781422a |
completed | March 31, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69cc58a76b90819092de63b3b23e70af |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cfccc9c8190adcbaee96c17711e |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 4:53 p.m.