Triple
T13210932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Scrubs |
E314486
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Sleigh Ride |
E539584
|
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: Sleigh Ride | Statement: [No Scrubs, precededBySingle, Sleigh Ride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sleigh Ride Context triple: [No Scrubs, precededBySingle, Sleigh Ride]
-
A.
Sleigh Ride
chosen
"Sleigh Ride" is a popular light orchestral Christmas piece, often performed with lyrics, that has become a holiday music standard.
-
B.
Dashing Through the Snow
"Dashing Through the Snow" is a holiday-themed mystery novel by Mary Higgins Clark featuring her recurring amateur sleuths Alvirah and Willy Meehan.
-
C.
Jingle Bells
"Jingle Bells" is a popular 19th-century American Christmas song widely recognized for its catchy melody and association with holiday festivities.
-
D.
The Christmas Waltz
"The Christmas Waltz" is a classic holiday song, famously associated with Frank Sinatra and widely covered as a seasonal standard.
-
E.
Ring Them Bells
"Ring Them Bells" is a contemplative, gospel-tinged song by Bob Dylan, known for its spiritual imagery and hymn-like composition.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.