Triple
T13479295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Kemp |
E318328
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Christmas Waltz |
E578822
|
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: The Christmas Waltz | Statement: [Will Kemp, notableWork, The Christmas Waltz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Christmas Waltz Context triple: [Will Kemp, notableWork, The Christmas Waltz]
-
A.
The Christmas Waltz
chosen
"The Christmas Waltz" is a classic holiday song, famously associated with Frank Sinatra and widely covered as a seasonal standard.
-
B.
O Tannenbaum
"O Tannenbaum" is a traditional German Christmas carol widely known in its English version as "O Christmas Tree."
-
C.
A Christmas Song
"A Christmas Song" is a festive musical number from Elf: The Musical that captures the show’s central theme of spreading holiday cheer through singing and togetherness.
-
D.
Sleigh Ride
"Sleigh Ride" is a popular light orchestral Christmas piece, often performed with lyrics, that has become a holiday music standard.
-
E.
Have Yourself a Merry Little Christmas
"Have Yourself a Merry Little Christmas" is a classic Christmas standard, originally introduced by Judy Garland in the 1944 film *Meet Me in St. Louis* and since covered by countless artists.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463340fc8190b1128bd1d26f91ab |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.