Triple
T14670261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrisette Michele |
E344490
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Be OK |
E835520
|
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: Be OK | Statement: [Chrisette Michele, notableWork, Be OK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be OK Context triple: [Chrisette Michele, notableWork, Be OK]
-
A.
Be OK
chosen
"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.
-
B.
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.
-
C.
Oh-OK
Oh-OK was an early 1980s Athens, Georgia indie pop band known for its minimalist, off-kilter sound and for featuring future members of influential alternative acts.
-
D.
It’s OK
"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.
-
E.
It’s OK
"It’s OK" is a soulful R&B song by CeeLo Green from his album *The Lady Killer*, known for its retro-inspired sound and upbeat, reassuring lyrics.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ef2908190b189ced65eec434a |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde177ced48190a448cbee1f4c75bf |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.