Triple
T23145143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teaser and the Firecat |
E577565
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | If I Laugh |
—
|
NE NERFINISHED |
How this triple was built (3 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: If I Laugh | Statement: [Teaser and the Firecat, hasTrack, If I Laugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Laugh Context triple: [Teaser and the Firecat, hasTrack, If I Laugh]
-
A.
Only When I Laugh
Only When I Laugh is a humorous memoir by actor Jim Backus that recounts his life and career in entertainment.
-
B.
Only When I Laugh
Only When I Laugh is a 1981 American comedy-drama film, adapted from Neil Simon’s play "The Gingerbread Lady," about a recovering alcoholic actress struggling to rebuild her life and relationships.
-
C.
I Cry When I Laugh
"I Cry When I Laugh" is the first studio album by English singer Jess Glynne, featuring a blend of soulful pop and dance tracks that helped establish her mainstream success.
-
D.
Don't Laugh at Me
"Don't Laugh at Me" is a country song popularized by Mark Wills that delivers an anti-bullying and empathy-focused message, becoming widely used in educational and social campaigns.
-
E.
I Should Be Laughing
"I Should Be Laughing" is a pop-rock song by American singer Patty Smyth, known for her powerful vocals and emotive, radio-friendly style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: If I Laugh Target entity description: "If I Laugh" is a reflective folk song by Cat Stevens from his 1971 album *Teaser and the Firecat*, noted for its gentle melody and introspective lyrics.
-
A.
Only When I Laugh
Only When I Laugh is a humorous memoir by actor Jim Backus that recounts his life and career in entertainment.
-
B.
Only When I Laugh
Only When I Laugh is a 1981 American comedy-drama film, adapted from Neil Simon’s play "The Gingerbread Lady," about a recovering alcoholic actress struggling to rebuild her life and relationships.
-
C.
I Cry When I Laugh
"I Cry When I Laugh" is the first studio album by English singer Jess Glynne, featuring a blend of soulful pop and dance tracks that helped establish her mainstream success.
-
D.
Don't Laugh at Me
"Don't Laugh at Me" is a country song popularized by Mark Wills that delivers an anti-bullying and empathy-focused message, becoming widely used in educational and social campaigns.
-
E.
I Should Be Laughing
"I Should Be Laughing" is a pop-rock song by American singer Patty Smyth, known for her powerful vocals and emotive, radio-friendly style.
- F. None of above. chosen
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecd40108190aaad7faf754b7936 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.