Triple
T9058418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slippery When Wet |
E217061
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Never Say Goodbye |
E774730
|
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: Never Say Goodbye | Statement: [Slippery When Wet, hasSingle, Never Say Goodbye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Never Say Goodbye Context triple: [Slippery When Wet, hasSingle, Never Say Goodbye]
-
A.
Never Say Goodbye
"Never Say Goodbye" is a song by Bob Dylan featured on his 1974 album *Planet Waves*.
-
B.
Never Say Goodbye
chosen
"Never Say Goodbye" is a power ballad by American rock band Bon Jovi from their 1986 album "Slippery When Wet."
-
C.
Never Can Say Goodbye
"Never Can Say Goodbye" is a classic soul song first recorded by the Jackson 5 in 1971 that became one of their signature hits and was later widely covered and popularized in disco and pop music.
-
D.
Time to Say Goodbye
"Time to Say Goodbye" is a popular classical crossover song, famously performed by Andrea Bocelli (often with Sarah Brightman), known for its powerful, emotional melody and widespread use at major public events and ceremonies.
-
E.
Kiss Her Goodbye
Kiss Her Goodbye is a hardboiled crime novel featuring private detective Mike Hammer in one of his later, grittier cases.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fe00980819082571eccb608d605 |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:10 p.m.