Triple
T2595007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig |
E58207
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Louis |
E32075
|
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: Louis | Statement: [Ludwig, hasVariantForm, Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Context triple: [Ludwig, hasVariantForm, Louis]
-
A.
Louis
chosen
Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
-
B.
Baraque Michel
Baraque Michel is a high plateau area and former coaching inn in Belgium’s High Fens, known as one of the country’s coldest and highest inhabited spots and a popular starting point for hikes in the surrounding nature reserve.
-
C.
François
François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
-
D.
Napoleon Bonaparte Broward
Napoleon Bonaparte Broward was an early 20th-century governor of Florida best known for his efforts to drain and develop the Everglades.
-
E.
Philip
Philip is the given first name of Phil Jackson, the legendary NBA coach and former player known for winning multiple championships with the Chicago Bulls and Los Angeles Lakers.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83c3607c81908bb4aceca46c5392 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:49 p.m.