Triple
T16098955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razzle Dazzle |
E390561
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Razzle Dazzle |
unclear NED1
|
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: Razzle Dazzle | Statement: [Razzle Dazzle, title, Razzle Dazzle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Razzle Dazzle Context triple: [Razzle Dazzle, title, Razzle Dazzle]
-
A.
Razzle Dazzle
"Razzle Dazzle" is a 1955 rock and roll song by Bill Haley & His Comets that helped popularize the energetic, dance-oriented style of early rock music.
-
B.
Razzle Dazzle
"Razzle Dazzle" is a show-stopping musical number from the film adaptation of the Broadway musical Chicago, known for its satirical take on showbiz spectacle and courtroom manipulation.
-
C.
Razzle Dazzle
Razzle Dazzle is a track featured on the hip-hop album "Ransom 2" by producer Mike Will Made-It.
-
D.
Dazzle
"Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
-
E.
Zig Zag
"Zig Zag" is a song featured on the soundtrack album for the film "Car Wash," known for its funk and soul influences characteristic of the movie's music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6672848190922b5ebb90e18947 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9b3e708190be822f7ed588c9da |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.