Triple
T8153882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wet Wet Wet |
E190394
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Wishing I Was Lucky |
E717261
|
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: Wishing I Was Lucky | Statement: [Wet Wet Wet, notableSingle, Wishing I Was Lucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wishing I Was Lucky Context triple: [Wet Wet Wet, notableSingle, Wishing I Was Lucky]
-
A.
Wishing I Was Lucky
chosen
"Wishing I Was Lucky" is the debut single by Scottish pop band Wet Wet Wet, which introduced their soulful pop sound to a wide audience in the late 1980s.
-
B.
I Should Be So Lucky
"I Should Be So Lucky" is a 1987 synth-pop song by Australian singer Kylie Minogue that became one of her signature international hits.
-
C.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
D.
Lucky Me
"Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
-
E.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced3839b4819081a811fcebc51ff7 |
completed | April 1, 2026, 10:02 a.m. |
Created at: March 30, 2026, 5:37 p.m.