Triple
T12202150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Ceremonies |
E290740
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | It’s OK |
E873370
|
NE FINISHED |
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: It’s OK | Statement: [Master of Ceremonies, hasTrack, It’s OK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It’s OK Context triple: [Master of Ceremonies, hasTrack, It’s OK]
-
A.
It’s OK
chosen
"It’s OK" is a song produced by British music producer Alex da Kid, known for his work blending pop, hip hop, and alternative influences.
-
B.
It's OK!
"It's OK!" is a pop song by British girl group Atomic Kitten, released in 2002 as one of the singles from their successful second studio album.
-
C.
Be OK
"Be OK" is a 2008 indie pop album by singer-songwriter Ingrid Michaelson, featuring a mix of original songs and covers with a light, acoustic-driven sound.
-
D.
Is It O.K.?
"Is It O.K.?" is a Juno Award-winning studio album by Canadian singer-songwriter Serena Ryder that blends folk, rock, and pop influences.
-
E.
I’m OK
"I’m OK" is a song by American singer-songwriter and producer Linda Perry, known for its emotionally raw lyrics and powerful vocal delivery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7b97408190a11ea37cc6edf18c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a982e308190979245ac9643465a |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.