Triple
T19534751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After Laughter |
E488739
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object | Fake Happy |
—
|
NE NERFINISHED |
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: Fake Happy | Statement: [After Laughter, containsSingle, Fake Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fake Happy Context triple: [After Laughter, containsSingle, Fake Happy]
-
A.
Fake Happy
chosen
"Fake Happy" is a song by American rock band Paramore from their 2017 album *After Laughter*, known for its upbeat sound contrasted with lyrics about masking emotional pain.
-
B.
Fake
"Fake" is a song featured on the Who's rockumentary album and film "The Kids Are Alright."
-
C.
Fake Famous
Fake Famous is a 2021 documentary film that explores how ordinary people can be manufactured into social media influencers, examining the illusions and mechanics of online fame.
-
D.
Fake Songs
Fake Songs is a music album by William Joseph Lynch, showcasing his distinctive songwriting and artistic style.
-
E.
Fake Bonanza
Fake Bonanza is a song featured on the album "True Magic" by rapper and producer Mos Def.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.