Triple
T12772608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Welch |
E305283
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dance Fever |
E337951
|
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: Dance Fever | Statement: [Florence Welch, notableWork, Dance Fever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dance Fever Context triple: [Florence Welch, notableWork, Dance Fever]
-
A.
Dance Fever
chosen
Dance Fever is a 2022 indie rock and baroque pop album by Florence and the Machine that explores themes of catharsis, mythology, and the return to physicality after isolation.
-
B.
Born to Dance
Born to Dance is a 1936 MGM musical film featuring songs by Cole Porter and starring Eleanor Powell and James Stewart.
-
C.
We Came to Dance
"We Came to Dance" is a song by the British new wave band Ultravox, featured on their 1982 album Quartet and released as a single.
-
D.
Love N' Dancing
Love N' Dancing is a romantic drama film centered on West Coast Swing dancing, directed by Robert Iscove.
-
E.
New York Fever
New York Fever was a professional soccer team based in New York that competed in the lower divisions of U.S. soccer during the 1990s.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fcd4b48190ab610efffcbd1546 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:28 p.m.