Triple
T12258272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Wiz |
E292155
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Come Closer |
E292159
|
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: Come Closer | Statement: [Big Wiz, notableWork, Come Closer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come Closer Context triple: [Big Wiz, notableWork, Come Closer]
-
A.
Come Closer
chosen
"Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
-
B.
Come Close
"Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
-
C.
Come a Little Bit Closer
"Come a Little Bit Closer" is a 1964 pop hit song by Jay and the Americans, known for its storytelling lyrics and Latin-flavored arrangement.
-
D.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
-
E.
Too Close
"Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abfc8588190ab9300c6e5e59092 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.