Triple
T22255413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo & the Bunnymen |
E550082
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Lips Like Sugar |
—
|
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: Lips Like Sugar | Statement: [Echo & the Bunnymen, hasSong, Lips Like Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lips Like Sugar Context triple: [Echo & the Bunnymen, hasSong, Lips Like Sugar]
-
A.
Lips Like Sugar
chosen
"Lips Like Sugar" is a 1987 alternative rock song by Echo & the Bunnymen, known for its atmospheric sound and enduring popularity as one of the band's signature tracks.
-
B.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
C.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
-
D.
Hot Lips
Hot Lips is the nickname of Oran "Hot Lips" Page, an influential American jazz trumpeter and vocalist known for his powerful playing and contributions to the swing era.
-
E.
Milk Like Sugar
Milk Like Sugar is a contemporary stage play that explores the aspirations and harsh realities of teenage girls who make a pact to become pregnant in pursuit of a better life.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c1d70881908df47b0f818c0022 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.