Triple
T16324846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Messmer |
E396383
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | "O Canada" |
E65723
|
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: "O Canada" | Statement: [Wayne Messmer, performerOf, "O Canada"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "O Canada" Context triple: [Wayne Messmer, performerOf, "O Canada"]
-
A.
O Canada
chosen
"O Canada" is the national anthem of Canada, widely performed at official events and international sporting competitions.
-
B.
Maple Leaf Parade
Maple Leaf Parade is a festive procession associated with Oktoberfest USA, featuring themed floats, marching bands, and community celebrations that highlight autumn and German-American heritage.
-
C.
Maple Leaf
The Maple Leaf is a widely recognized emblem of Canada, prominently featured on its national flag and associated with Canadian identity and heritage.
-
D.
Maple Leaf
Maple Leaf is an Amtrak intercity passenger train service that operates between New York City and Toronto, connecting major cities in New York State with southern Ontario.
-
E.
Maple Leaf
Maple Leaf is a primarily residential neighborhood in North Seattle known for its quiet streets, family-friendly atmosphere, and views of the city and mountains.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.