Triple
T11145747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Zahra Aga Khan |
E263664
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mark Boyden
Mark Boyden is best known as the husband of Princess Zahra Aga Khan, a member of the prominent Aga Khan family.
|
E918509
|
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: Mark Boyden | Statement: [Princess Zahra Aga Khan, spouse, Mark Boyden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Boyden Context triple: [Princess Zahra Aga Khan, spouse, Mark Boyden]
-
A.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
B.
Colin Mullen
Colin Mullen is an individual notable enough to be recognized as a namesake of the surname Mullen.
-
C.
Greg Morris
Greg Morris was an American actor best known for his role as electronics expert Barney Collier on the television series "Mission: Impossible."
-
D.
Mark Bignell
Mark Bignell is a British charity worker and chief executive of the addiction-focused charity Hamoaze House, known publicly as the husband of comedian and actress Dawn French.
-
E.
Michael Bradsell
Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
- 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: Mark Boyden Triple: [Princess Zahra Aga Khan, spouse, Mark Boyden]
Generated description
Mark Boyden is best known as the husband of Princess Zahra Aga Khan, a member of the prominent Aga Khan family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Boyden Target entity description: Mark Boyden is best known as the husband of Princess Zahra Aga Khan, a member of the prominent Aga Khan family.
-
A.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
B.
Colin Mullen
Colin Mullen is an individual notable enough to be recognized as a namesake of the surname Mullen.
-
C.
Greg Morris
Greg Morris was an American actor best known for his role as electronics expert Barney Collier on the television series "Mission: Impossible."
-
D.
Mark Bignell
Mark Bignell is a British charity worker and chief executive of the addiction-focused charity Hamoaze House, known publicly as the husband of comedian and actress Dawn French.
-
E.
Michael Bradsell
Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8634d5481909b114d30a542ea3f |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5255f7730819087dc4b10565e321d |
completed | April 19, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69e52a78951c8190923711067cf4e7e5 |
completed | April 19, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:28 p.m.