Triple
T20407974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What the Hell |
E500519
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Goodbye Lullaby |
—
|
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: Goodbye Lullaby | Statement: [What the Hell, partOf, Goodbye Lullaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodbye Lullaby Context triple: [What the Hell, partOf, Goodbye Lullaby]
-
A.
Goodbye Lullaby
chosen
Goodbye Lullaby is Avril Lavigne’s introspective pop-rock studio album known for its more acoustic, emotional sound and themes of heartbreak and personal growth.
-
B.
My Lullaby
"My Lullaby" is a dark, villain-led song from Disney's The Lion King II: Simba’s Pride, sung by Zira as she plots revenge against Simba.
-
C.
Lullaby
Lullaby is a film directed by South African filmmaker Darrell Roodt, known for his socially conscious and emotionally driven storytelling.
-
D.
Lullaby
"Lullaby" is a dark, atmospheric 1989 song by English rock band The Cure, known for its haunting lyrics, eerie music video, and enduring popularity as one of the band's signature tracks.
-
E.
Lullaby
"Lullaby" is a smooth R&B track by Luvanmusiq that showcases soulful vocals and mellow, romantic production.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.