Triple
T16544262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surya Bonaly |
E401900
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bonaly |
E401900
|
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: Bonaly | Statement: [Surya Bonaly, familyName, Bonaly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonaly Context triple: [Surya Bonaly, familyName, Bonaly]
-
A.
Bonaly
chosen
Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
-
B.
Bonaly
Bonaly is a small residential and recreational area on the southwestern edge of Edinburgh, Scotland, known for its proximity to the Pentland Hills and outdoor activities.
-
C.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
D.
Lyonnet
Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
-
E.
Berneuse
Berneuse is a mountain peak above Leysin in the Swiss Alps, known for its panoramic views and the revolving Kuklos restaurant at its summit.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed9fa988190892ca20939080f5f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.