Triple
T22410052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killer Love |
E553971
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Wet |
—
|
NE NERFINISHED |
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: Wet | Statement: [Killer Love, notableSingle, Wet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wet Context triple: [Killer Love, notableSingle, Wet]
-
A.
Wet
"Wet" is a 1979 pop and adult contemporary studio album by Barbra Streisand, noted for its water-themed concept and the hit duet "No More Tears (Enough Is Enough)" with Donna Summer.
-
B.
Wet
chosen
Wet is an American indie pop band known for its minimalist, emotionally intimate songs that blend atmospheric production with vulnerable lyrics.
-
C.
WET
WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
-
D.
Moist
"Moist" is a track from Lil Uzi Vert's breakout mixtape *Luv Is Rage*, showcasing his early melodic trap style and energetic delivery.
-
E.
Damp
Damp is a coastal resort municipality in northern Germany known for its Baltic Sea beaches and holiday facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.