Triple
T12257464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Preud'homme |
E292137
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | KV Mechelen |
E456597
|
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: KV Mechelen | Statement: [Michel Preud'homme, playedFor, KV Mechelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KV Mechelen Context triple: [Michel Preud'homme, playedFor, KV Mechelen]
-
A.
KV Mechelen
chosen
KV Mechelen is a Belgian professional football club known for competing in the country’s top leagues and for its passionate local fan base.
-
B.
Oud-Heverlee Leuven
Oud-Heverlee Leuven is a Belgian professional football club based in the city of Leuven that competes in the country’s top leagues.
-
C.
Waasland-Beveren
Waasland-Beveren is a Belgian professional football club based in Beveren, known for competing in the country’s football league system.
-
D.
KRC Genk
KRC Genk is a Belgian professional football club known for developing top talents, including Kevin De Bruyne, and competing in the country’s top division.
-
E.
MSK Gent
MSK Gent is a prominent art museum in Ghent, Belgium, renowned for its extensive collection of Flemish and European fine arts spanning the Middle Ages to the 20th century.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abfc8588190ab9300c6e5e59092 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.