Triple
T5053372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barking at Airplanes |
E113839
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
One Kiss
"One Kiss" is a song featured on the 1980 new wave album *Barking at Airplanes* by American singer-songwriter Kim Carnes.
|
E490221
|
NE FINISHED |
How this triple was built (4 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: One Kiss | Statement: [Barking at Airplanes, hasPart, One Kiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Kiss Context triple: [Barking at Airplanes, hasPart, One Kiss]
-
A.
Just One Kiss
"Just One Kiss" is a song featured on the album "The Way I See It."
-
B.
Kiss Me
"Kiss Me" is the smooth, jazz-influenced theme song best known for its use in the opening credits of the classic American sitcom *The Cosby Show*.
-
C.
This Kiss
"This Kiss" is a 1998 country-pop song by Faith Hill that became one of her signature crossover hits, known for its catchy melody and romantic lyrics.
-
D.
Kiss the Girl
"Kiss the Girl" is a popular romantic song from Disney's animated film The Little Mermaid, featured during a scene where Sebastian encourages Prince Eric to kiss Ariel.
-
E.
Last Kiss
"Last Kiss" is a popular rock ballad famously covered by Pearl Jam, known for its tragic narrative and success as one of the band's biggest hit singles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: One Kiss Triple: [Barking at Airplanes, hasPart, One Kiss]
Generated description
"One Kiss" is a song featured on the 1980 new wave album *Barking at Airplanes* by American singer-songwriter Kim Carnes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: One Kiss Target entity description: "One Kiss" is a song featured on the 1980 new wave album *Barking at Airplanes* by American singer-songwriter Kim Carnes.
-
A.
Just One Kiss
"Just One Kiss" is a song featured on the album "The Way I See It."
-
B.
Kiss Me
"Kiss Me" is the smooth, jazz-influenced theme song best known for its use in the opening credits of the classic American sitcom *The Cosby Show*.
-
C.
This Kiss
"This Kiss" is a 1998 country-pop song by Faith Hill that became one of her signature crossover hits, known for its catchy melody and romantic lyrics.
-
D.
Kiss the Girl
"Kiss the Girl" is a popular romantic song from Disney's animated film The Little Mermaid, featured during a scene where Sebastian encourages Prince Eric to kiss Ariel.
-
E.
Last Kiss
"Last Kiss" is a popular rock ballad famously covered by Pearl Jam, known for its tragic narrative and success as one of the band's biggest hit singles.
- F. None of above. chosen
Provenance (5 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea486b394819082ea80694843b29e |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea509ff4c8190be2ce24e84366ea8 |
completed | March 21, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea577f4b0819084d579e4d4804947 |
completed | March 21, 2026, 2:04 p.m. |
Created at: March 20, 2026, 1:38 p.m.