Triple
T23391451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live from the Kitchen |
E594029
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | single "5 Star" |
—
|
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: single "5 Star" | Statement: [Live from the Kitchen, hasPart, single "5 Star"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: single "5 Star" Context triple: [Live from the Kitchen, hasPart, single "5 Star"]
-
A.
5 Star
chosen
"5 Star" is a popular 2009 hip-hop single by American rapper Yo Gotti that helped raise his mainstream profile.
-
B.
5 Star
5 Star is a studio album by Ghanaian singer King Promise that blends Afrobeats, R&B, and highlife influences.
-
C.
5 Star
"5 Star" is a 2022 Afropop single by Nigerian singer Adekunle Gold that reflects themes of success, self-confidence, and living a high-quality life.
-
D.
5 Star
5 Star is a popular chocolate bar brand owned by Mondelēz International, known for its chewy caramel and nougat center coated in milk chocolate.
-
E.
5STAR
5STAR is a British free-to-air television channel offering a mix of drama, reality, and entertainment programming.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:36 p.m.