Triple
T23370602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Much Fun |
E593459
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Hot |
E593456
|
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: Hot | Statement: [So Much Fun, notableSingle, Hot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Context triple: [So Much Fun, notableSingle, Hot]
-
A.
Hot
chosen
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
B.
Hot
Hot is a 1996 swing revival album by Squirrel Nut Zippers that helped popularize their eclectic, retro jazz sound.
-
C.
Hot
"Hot" is a pop-punk track by Avril Lavigne from her 2007 album *The Best Damn Thing*, known for its energetic style and catchy chorus.
-
D.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
E.
HOT
HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5ddde5608190acd427c4b8740733 |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 5:32 p.m.