Triple
T19151949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Christopher Andrew Hoy |
E468829
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Sarra Kemp |
—
|
NE NERFINISHED |
How this triple was built (2 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: Sarra Kemp | Statement: [Sir Christopher Andrew Hoy, hasSpouse, Sarra Kemp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarra Kemp Context triple: [Sir Christopher Andrew Hoy, hasSpouse, Sarra Kemp]
-
A.
Sarra Kemp
chosen
Sarra Kemp is the wife of British track cycling champion and multiple Olympic gold medallist Sir Chris Hoy.
-
B.
Sara Potts
Sara Potts is known as the sister of American actress and television personality Olivia Munn.
-
C.
Hayley Squires
Hayley Squires is an English actress and writer known for her acclaimed performances in film, television, and theatre, including her breakout role in Ken Loach's "I, Daniel Blake."
-
D.
Aiysha Hart
Aiysha Hart is a British-Saudi actress known for her roles in television series such as "We Are Lady Parts," "Atlantis," and "Line of Duty."
-
E.
Shyla Leary
Shyla Leary is known as the spouse of acclaimed American novelist John Irving.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97dc5a481909a58416126a0862d |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.