Triple
T10159764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Morris |
E233857
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
What If We Fall in Love
"What If We Fall in Love" is a country music album by American singer Gary Morris.
|
E845481
|
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: What If We Fall in Love | Statement: [Gary Morris, album, What If We Fall in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What If We Fall in Love Context triple: [Gary Morris, album, What If We Fall in Love]
-
A.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
-
B.
Fall in Love
"Fall in Love" is a notable creative work by Bangalee, likely recognized as one of the artist's prominent releases.
-
C.
If I Could Fall in Love
"If I Could Fall in Love" is a soulful rock ballad by American musician Lenny Kravitz, known for its romantic lyrics and smooth, guitar-driven sound.
-
D.
Don't Want to Fall in Love
"Don't Want to Fall in Love" is a song by the American punk rock band Green Day, released as the B-side to their single "Geek Stink Breath."
-
E.
Falling in Love with Love
"Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
- 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: What If We Fall in Love Triple: [Gary Morris, album, What If We Fall in Love]
Generated description
"What If We Fall in Love" is a country music album by American singer Gary Morris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: What If We Fall in Love Target entity description: "What If We Fall in Love" is a country music album by American singer Gary Morris.
-
A.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
-
B.
Fall in Love
"Fall in Love" is a notable creative work by Bangalee, likely recognized as one of the artist's prominent releases.
-
C.
If I Could Fall in Love
"If I Could Fall in Love" is a soulful rock ballad by American musician Lenny Kravitz, known for its romantic lyrics and smooth, guitar-driven sound.
-
D.
Don't Want to Fall in Love
"Don't Want to Fall in Love" is a song by the American punk rock band Green Day, released as the B-side to their single "Geek Stink Breath."
-
E.
Falling in Love with Love
"Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300b7b3108190a8e7581193c322be |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d30254aabc8190966a4398c59a851e |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30305924c8190998cbefa372dca9a |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:09 p.m.