Triple
T2850264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Hoult |
E63073
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Rosanna Hoult
Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
|
E309958
|
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: Rosanna Hoult | Statement: [Nicholas Hoult, hasSibling, Rosanna Hoult]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosanna Hoult Context triple: [Nicholas Hoult, hasSibling, Rosanna Hoult]
-
A.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
B.
Isla Dawson
Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
-
C.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
D.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
E.
Annabelle Wallis
Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
- 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: Rosanna Hoult Triple: [Nicholas Hoult, hasSibling, Rosanna Hoult]
Generated description
Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosanna Hoult Target entity description: Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
-
A.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
B.
Isla Dawson
Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
-
C.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
D.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
E.
Annabelle Wallis
Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf437328819098506ec8a3a23e11 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055d9c0f08190b62afbc1bf98dc20 |
completed | March 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69b06309895881908e9fdd9fa31aed03 |
completed | March 10, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b06371e5fc8190a9945d9ac005365a |
completed | March 10, 2026, 6:31 p.m. |
Created at: March 6, 2026, 10:02 p.m.