Triple
T22390055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face to Face |
E553488
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Colour My World |
—
|
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: Colour My World | Statement: [Face to Face, hasPart, Colour My World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colour My World Context triple: [Face to Face, hasPart, Colour My World]
-
A.
Colour My World
chosen
"Colour My World" is a soft rock ballad by the American band Chicago, known for its romantic melody and prominent flute solo, and has become one of their signature songs.
-
B.
Colour My World
Colour My World is a song composed by British songwriter and producer Tony Hatch.
-
C.
Color My Life
"Color My Life" is a psychedelic soul song by the Los Angeles band Chicano Batman that blends vintage funk, Latin influences, and lush, atmospheric production.
-
D.
My Colouring Book
"My Colouring Book" is a solo studio album by Swedish singer Agnetha Fältskog, featuring covers of classic 1960s pop songs.
-
E.
Colour by Numbers
Colour by Numbers is a 1983 pop album by British band Culture Club, best known for its hit singles like "Karma Chameleon" and its blend of new wave, soul, and reggae influences.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.