Triple
T20482131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Servais |
E502482
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Servais |
—
|
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: Servais | Statement: [Mike Servais, familyName, Servais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Servais Context triple: [Mike Servais, familyName, Servais]
-
A.
Servais
chosen
Servais is a surname most notably associated in sports with Scott Servais, a former Major League Baseball catcher and current manager.
-
B.
Olivier Servais
Olivier Servais is a Belgian anthropologist and academic known for his research on digital cultures, online communities, and the anthropology of religion.
-
C.
Roger Degueldre
Roger Degueldre was a French Army officer best known as a leading figure and commando leader in the pro–French Algeria paramilitary underground during the Algerian War.
-
D.
Joseph Massart
Joseph Massart was a prominent 19th-century Belgian violinist and influential pedagogue at the Paris Conservatoire, known for training many leading violinists of his time.
-
E.
Jacques Thienpont
Jacques Thienpont is a renowned Belgian winemaker best known for creating the cult Bordeaux wine Le Pin in Pomerol.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.