Triple
T6269750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under the Blue Moon |
E140498
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Kiss and Make Up
"Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
|
E579747
|
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: Kiss and Make Up | Statement: [Under the Blue Moon, hasTrack, Kiss and Make Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiss and Make Up Context triple: [Under the Blue Moon, hasTrack, Kiss and Make Up]
-
A.
Break Up to Make Up
"Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
-
B.
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.
-
C.
Kissed
"Kissed" is a 1996 Canadian independent drama film, directed by Lynne Stopkewich and starring Molly Parker, that explores a young woman's fixation with death and necrophilia.
-
D.
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.
-
E.
Kiss Kiss
Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
- 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: Kiss and Make Up Triple: [Under the Blue Moon, hasTrack, Kiss and Make Up]
Generated description
"Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiss and Make Up Target entity description: "Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
-
A.
Break Up to Make Up
"Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
-
B.
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.
-
C.
Kissed
"Kissed" is a 1996 Canadian independent drama film, directed by Lynne Stopkewich and starring Molly Parker, that explores a young woman's fixation with death and necrophilia.
-
D.
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.
-
E.
Kiss Kiss
Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a3f1d081908ccff88db94b1f9c |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24460f1bc8190b15ca58331410ec2 |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a5a6157c8190a57a297cf606eecb |
completed | March 24, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2a60a92cc8190847e242482788ff3 |
completed | March 24, 2026, 2:56 p.m. |
Created at: March 22, 2026, 4:25 p.m.