Triple
T496493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Luxon |
E10304
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Amanda Luxon
Amanda Luxon is the wife of New Zealand politician and business leader Christopher Luxon.
|
E164913
|
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: Amanda Luxon | Statement: [Christopher Luxon, hasSpouse, Amanda Luxon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Luxon Context triple: [Christopher Luxon, hasSpouse, Amanda Luxon]
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Amanda Lucas
Amanda Lucas is an American actress and mixed martial artist best known as the adopted daughter of filmmaker George Lucas and for her small roles in the Star Wars prequel films.
-
C.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
D.
Maria Skerrett
Maria Skerrett was the second wife of British statesman Sir Robert Walpole, serving as his companion during his later years as de facto first Prime Minister of Great Britain.
-
E.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
- 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: Amanda Luxon Triple: [Christopher Luxon, hasSpouse, Amanda Luxon]
Generated description
Amanda Luxon is the wife of New Zealand politician and business leader Christopher Luxon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Luxon Target entity description: Amanda Luxon is the wife of New Zealand politician and business leader Christopher Luxon.
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Amanda Lucas
Amanda Lucas is an American actress and mixed martial artist best known as the adopted daughter of filmmaker George Lucas and for her small roles in the Star Wars prequel films.
-
C.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
D.
Maria Skerrett
Maria Skerrett was the second wife of British statesman Sir Robert Walpole, serving as his companion during his later years as de facto first Prime Minister of Great Britain.
-
E.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f115334881908ac5ab96c7f4214e |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad089201a08190a84c7d8f32238297 |
completed | March 8, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69ad09206e988190ad76f8beaa8f9fe6 |
completed | March 8, 2026, 5:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a30bcdc81908090d6a094ece0f4 |
completed | March 8, 2026, 5:33 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.