Triple
T23331119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Londonbeat discography |
E591444
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Build It with Love |
—
|
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: Build It with Love | Statement: [Londonbeat discography, includes, Build It with Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Build It with Love Context triple: [Londonbeat discography, includes, Build It with Love]
-
A.
Build It with Love
chosen
"Build It with Love" is a song by the British-American dance-pop band Londonbeat, known for its catchy, soulful pop sound.
-
B.
Rise Up and Build
Rise Up and Build is the inspirational motto of North-Eastern Hill University, encouraging progress through collective effort and development.
-
C.
To Build a Home
"To Build a Home" is a melancholic, piano-driven song by The Cinematic Orchestra featuring Patrick Watson, widely known for its emotional intensity and frequent use in film and television soundtracks.
-
D.
Build Me Up
"Build Me Up" is a song featured on the album "Suit" by American rapper Nelly.
-
E.
Build Me Up
"Build Me Up" is a song by the American rock band Blue Collar.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197edfbbc81908cb56507cd280737 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:15 p.m.