Triple
T4439864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fever Van |
E95743
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object | fever van |
E95743
|
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: fever van | Statement: [The Fever Van, depicts, fever van]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fever van Context triple: [The Fever Van, depicts, fever van]
-
A.
The Fever Van
chosen
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
-
B.
Fever
"Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
-
C.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
D.
Fla-Flu
Fla-Flu is one of Brazil’s most famous and historic football rivalries, contested between Rio de Janeiro clubs Flamengo and Fluminense.
-
E.
FMD
FMD is a Forward Multiplicity Detector used in high-energy physics experiments to measure the number and distribution of particles produced at small angles relative to the beam line.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137b97748190b8ebecaf590baad3 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.