Triple
T19152143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarra Kemp |
E468834
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Chris Hoy |
E105992
|
NE FINISHED |
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: Chris Hoy | Statement: [Sarra Kemp, spouse, Chris Hoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Hoy Context triple: [Sarra Kemp, spouse, Chris Hoy]
-
A.
Chris Hoy
Chris Hoy is an American politician who serves as the mayor of Salem, Oregon.
-
B.
Chris Hoy
chosen
Chris Hoy is a British former track cyclist and multiple Olympic and world champion, widely regarded as one of the most successful cyclists in history.
-
C.
David Weir
David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
-
D.
Chris Boardman
Chris Boardman is an American composer and orchestrator known for his work on numerous film scores and television soundtracks.
-
E.
Chris Boardman
Chris Boardman is a British former professional cyclist and Olympic gold medallist renowned for his time-trialling prowess and innovative approach to cycling technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b6ba6f88190afa88ae0547217df |
completed | May 15, 2026, 2:19 p.m. |
Created at: April 10, 2026, 12:06 p.m.